Head-to-head comparison

Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 172
distinct benchmarks: 18
latest retrieval: 2026-10-15

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Gemini 3.5 Flash-Lite and DeepSeek-V4.1-Flash
Attribute	Gemini 3.5 Flash-Lite	DeepSeek-V4.1-Flash
Provider	Google	DeepSeek
Released	Jul 21, 2026	Sep 10, 2026
Availability	Active	Active
Model type	Proprietary	Open Weights
Parameters	Not published	552B
Architecture	Not published	Mixture of Experts
Context window	1,048,576 tokens	1,000,000 tokens
Knowledge cutoff	Not published	Not published
Technical sources	Model	Model

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Gemini 3.5 Flash-Lite and DeepSeek-V4.1-Flash
Price type	Gemini 3.5 Flash-Lite	DeepSeek-V4.1-Flash
API input	$0.3	$0.15 (Off-Peak)
API output	$2.5	$0.6 (Off-Peak)
Cache read	$0.03	$0.003 (Off-Peak)
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/22/2026 Source	09/23/2026 Source
DeepSeek-V4.1-Flash: peak pricing is $0.3 input / $1.2 output per 1M tokens during Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC; off-peak rates apply at all other times.

Gemini 3.5 Flash-LiteDeepSeek-V4.1-Flash

API inputUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$0.3

DeepSeek-V4.1-Flash$0.15

API outputUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$2.5

DeepSeek-V4.1-Flash$0.6

Cache readUSD per 1M tokens, base tier

Gemini 3.5 Flash-Lite$0.03

DeepSeek-V4.1-Flash$0.003

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Gemini 3.5 Flash-Lite and DeepSeek-V4.1-Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.5 Flash-Lite	Google	Direct from developerStandard API	$0.3	$2.5	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/eu	$0.33	$2.75	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global	$0.3	$2.5	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.15	Lowest listed price: $1.25	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$0.54	$4.5	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/us	$0.33	$2.75	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.3	$2.5	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.15	Lowest listed price: $1.25	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$0.54	$4.5	Source10/17/2026
DeepSeek-V4.1-Flash	DeepSeek	Direct from developerStandard API	$0.15	$0.6	Source09/23/2026
	Alibaba	Via OpenRouteralibaba	$0.3	$1.2	Source10/17/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$0.135	$0.54	Source10/17/2026
	Baidu	Via OpenRouterbaidu/fp8	$0.3	$1.2	Source10/17/2026
	BaseTen	Via OpenRouterbaseten	$0.3	$1.2	Source10/17/2026
	BaseTen	Via OpenRouterbaseten/us	$0.3	$1.2	Source10/17/2026
	Cloudflare	Via OpenRoutercloudflare	$0.1	$0.9	Source10/17/2026
	CoreWeave	Via OpenRoutercoreweave/fp8	$0.15	$0.65	Source10/17/2026
	Crusoe	Via OpenRoutercrusoe/fp8	$0.29	$1.2	Source10/17/2026
	Decart	Via OpenRouterdecart/fp4	$0.09	$0.18	Source10/17/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.14	$0.42	Source10/17/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8/flex	$0.112	$0.336	Source10/17/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8/priority	$0.21	$0.63	Source10/17/2026
	DeepSeek	Via OpenRouterdeepseek	$0.15	$0.6	Source10/17/2026
	DigitalOcean	Via OpenRouterdigitalocean	$0.195	$0.78	Source10/17/2026
	Fireworks	Via OpenRouterfireworks	$0.3	$1.2	Source10/17/2026
	Fireworks	Via OpenRouterfireworks/us	$0.45	$1.8	Source10/17/2026
	GMICloud	Via OpenRoutergmicloud/fp8	$0.18	$0.72	Source10/17/2026
	InferenceNet	Via OpenRouterinference-net/fp8	$0.103	$0.715	Source10/17/2026
	Ionstream	Via OpenRouterionstream	$0.27	$1.1	Source10/17/2026
	Makora	Via OpenRoutermakora/fp8	$0.27	$1.15	Source10/17/2026
	Modal	Via OpenRoutermodal	$0.3	$1.2	Source10/17/2026
	Morph	Via OpenRoutermorph/fp8	$0.04	$0.7	Source10/17/2026
	Novita	Via OpenRouternovita/fp8	$0.195	$0.78	Source10/17/2026
	OpenInference	Via OpenRouteropen-inference/fp4	Lowest listed price: $0.032	Lowest listed price: $0.144	Source10/17/2026
	Parasail	Via OpenRouterparasail/fp8	$0.3	$1.2	Source10/17/2026
	Phala	Via OpenRouterphala	$0.21	$0.84	Source10/17/2026
	PrimeIntellect	Via OpenRouterprimeintellect	$0.3	$1.2	Source10/17/2026
	Relace	Via OpenRouterrelace	$0.2	$0.6	Source10/17/2026
	Sail Research	Via OpenRoutersail-research/fp4	$0.09	$0.3	Source10/17/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$0.3	$1.2	Source10/17/2026
	StreamLake	Via OpenRouterstreamlake/fp8	$0.1497	$0.5988	Source10/17/2026
	Together	Via OpenRoutertogether	$0.3	$1.2	Source10/17/2026
	Venice	Via OpenRoutervenice/fp8	$0.3	$1.2	Source10/17/2026
	Wafer	Via OpenRouterwafer/mxfp4	$0.1	$0.65	Source10/17/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Not enough directly matched categories for a reliable radar

Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Gemini 3.5 Flash-LiteDeepSeek-V4.1-Flash

Code MigrationOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite6.148 %

DeepSeek-V4.1-Flash45.623 %

CyberBench v1.1Overall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite59.107 %

DeepSeek-V4.1-Flash73.69 %

EMBOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite43.231 %

DeepSeek-V4.1-Flash57.208 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite47.442 %

DeepSeek-V4.1-Flash53.481 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite0 %

DeepSeek-V4.1-Flash6.667 %

Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite13.942 %

DeepSeek-V4.1-Flash41.346 %

LegalBenchOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite84.073 %

DeepSeek-V4.1-Flash83.277 %

LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite1,440.401

DeepSeek-V4.1-Flash1,618.513

LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite1,454.971

DeepSeek-V4.1-Flash1,474.579

LMArena Vision, Style ControlOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite1,265.999

DeepSeek-V4.1-Flash1,260.318

MedCodeOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite43.489 %

DeepSeek-V4.1-Flash41.173 %

MedScribeOverall. Higher is better. Test setup not documented as identical

Gemini 3.5 Flash-Lite70.886 %

DeepSeek-V4.1-Flash85.5 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.5 Flash-Lite and DeepSeek-V4.1-Flash
Benchmark and task	Gemini 3.5 Flash-Lite	DeepSeek-V4.1-Flash	Source
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	6.148 %	Higher measured value45.623 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	59.107 %	Higher measured value73.69 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	43.231 %	Higher measured value57.208 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	47.442 %	Higher measured value53.481 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	0 %	Higher measured value6.667 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	13.942 %	Higher measured value41.346 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	Higher measured value84.073 %	83.277 %	Vals AI Source details Data as of: 10/13/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Code Arena WebDev DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Code Arena WebDevGemini 3.5 Flash-Lite: Arena rating from 242 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 3,544 published pairwise votes.	1,440.401 95% confidence interval: ±40.572The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,618.513 95% confidence interval: ±10.935The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Text, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Text, style controlGemini 3.5 Flash-Lite: Arena rating from 35,845 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 12,000 published pairwise votes.	1,454.971 95% confidence interval: ±4.474The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,474.579 95% confidence interval: ±6.317The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Vision, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Vision, style controlGemini 3.5 Flash-Lite: Arena rating from 8,381 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 3,559 published pairwise votes.	Higher measured value1,265.999 95% confidence interval: ±8.109The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,260.318 95% confidence interval: ±10.899The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MedCodeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	Higher measured value43.489 %	41.173 %	Vals AI Source details Data as of: 10/13/2026
MedScribeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	70.886 %	Higher measured value85.5 %	Vals AI Source details Data as of: 10/13/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	0 %	Higher measured value0.5 %	Vals AI Source details Data as of: 10/12/2026
Public Benefits Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	51.827 %	Higher measured value64.276 %	Vals AI Source details Data as of: 10/12/2026
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 30,000 tokens	47.303 %	Higher measured value47.88 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	7.254 %	Higher measured value26.63 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	50.187 %	Higher measured value74.532 %	Vals AI Source details Data as of: 09/28/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Harness: OpenHands, Output limit: 384,000 tokens	37.161 %	Higher measured value84.739 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	5.875 %	Higher measured value37.497 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Patch Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	73.214 %	Higher measured value85.714 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	Higher measured value46.417 %	43.925 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	41.741 %	Higher measured value49.241 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	76.449 %	Higher measured value87.681 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	19.697 %	Higher measured value53.03 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	88.404 %	Higher measured value89.075 %	Vals AI Source details Data as of: 10/13/2026
LMArena Code Arena WebDevImage to webdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Code Arena WebDev DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Code Arena WebDevGemini 3.5 Flash-Lite: Arena rating from 1,600 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 766 published pairwise votes.	1,447.43 95% confidence interval: ±15.334The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,608.867 95% confidence interval: ±22.194The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
LMArena Text, Style ControlBusiness, management and finance Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Text, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Text, style controlGemini 3.5 Flash-Lite: Arena rating from 6,603 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 2,143 published pairwise votes.	1,452.709 95% confidence interval: ±7.982The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,476.217 95% confidence interval: ±12.877The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlCreative writing vision Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Vision, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Vision, style controlGemini 3.5 Flash-Lite: Arena rating from 787 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 299 published pairwise votes.	Higher measured value1,256.499 95% confidence interval: ±22.214The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,245.252 95% confidence interval: ±36.257The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	0 %	Higher measured value16.5 %	Vals AI Source details Data as of: 10/12/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 30,000 tokens	28.968 %	Higher measured value32.936 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	No direct winner3.333 %	No direct winner3.333 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	66.667 %	Higher measured value91.667 %	Vals AI Source details Data as of: 09/28/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	6.964 %	Higher measured value70 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1PoC Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	45 %	Higher measured value61.667 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	57.687 %	Higher measured value73.863 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	35.265 %	Higher measured value41.052 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	71.96 %	Higher measured value89.06 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	80.332 %	Higher measured value80.448 %	Vals AI Source details Data as of: 10/13/2026
LMArena Code Arena WebDevWebdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Code Arena WebDev DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Code Arena WebDevGemini 3.5 Flash-Lite: Arena rating from 242 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 3,544 published pairwise votes.	1,440.401 95% confidence interval: ±40.572The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,618.513 95% confidence interval: ±10.935The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Text, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Text, style controlGemini 3.5 Flash-Lite: Arena rating from 2,746 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 918 published pairwise votes.	1,483.866 95% confidence interval: ±12.01The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,522.52 95% confidence interval: ±19.943The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlDiagram Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Vision, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Vision, style controlGemini 3.5 Flash-Lite: Arena rating from 2,111 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 955 published pairwise votes.	Higher measured value1,293.093 95% confidence interval: ±13.782The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,290.828 95% confidence interval: ±19.74The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
ProgramBenchFully Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	0 %	Higher measured value0.5 %	Vals AI Source details Data as of: 10/12/2026
SAGECalculus Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 30,000 tokens	Higher measured value60.494 %	33.333 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	34.598 %	Higher measured value52.802 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	31.111 %	Higher measured value56.667 %	Vals AI Source details Data as of: 09/28/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	2.652 / 5	Higher measured value4.411 / 5	Vals AI Source details Data as of: 10/12/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	33.614 %	Higher measured value51.026 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Comparables Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	45.186 %	Higher measured value46.054 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	63.799 %	Higher measured value90.323 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	6.977 %	Higher measured value39.535 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchIssue Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	Higher measured value89.325 %	88.753 %	Vals AI Source details Data as of: 10/13/2026
LMArena Code Arena WebDevWebdev-react Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Code Arena WebDev DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Code Arena WebDevGemini 3.5 Flash-Lite: Arena rating from 151 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 2,176 published pairwise votes.	1,417.798 95% confidence interval: ±52.026The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,628.12 95% confidence interval: ±13.91The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCoding Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Text, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Text, style controlGemini 3.5 Flash-Lite: Arena rating from 9,919 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 3,319 published pairwise votes.	1,501.467 95% confidence interval: ±6.923The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,525.635 95% confidence interval: ±10.535The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlEnglish Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena Vision, style control DeepSeek-V4.1-Flash: Snapshot: deepseek-v4.1-flash-max, Reasoning: max, Harness: Arena Vision, style controlGemini 3.5 Flash-Lite: Arena rating from 2,880 published pairwise votes.DeepSeek-V4.1-Flash: Arena rating from 1,124 published pairwise votes.	1,267.775 95% confidence interval: ±12.218The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,270.817 95% confidence interval: ±18.539The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
ProgramBenchRaw Pass Rate Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: raw test pass rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	33.852 %	Higher measured value71.999 %	Vals AI Source details Data as of: 10/12/2026
SAGELinear Algebra Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 30,000 tokens	Higher measured value63.736 %	62.29 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchCurrent & Temporal Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	3.333 %	Higher measured value39 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Medium Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	59.394 %	Higher measured value83.03 %	Vals AI Source details Data as of: 09/28/2026
EMBLBO Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	40.127 %	Higher measured value54.183 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	56.138 %	Higher measured value61.312 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 384,000 tokens	73.216 %	Higher measured value86.675 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchRhetoric Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4.1-Flash: Reasoning: high, Output limit: 384,000 tokens	Higher measured value80.595 %	80.127 %	Vals AI Source details Data as of: 10/13/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

Shared test round: 4ae5d8eeb9a9

Gemini 3.5 Flash-Lite

Unavailable in this round

DeepSeek-V4.1-Flash

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 3.5 Flash-Lite

Reasoning (requested): high

Current attempt

Run date: Oct 2, 2026
API provider: openrouter
Requested API model: google/gemini-3.5-flash-lite
API model reported in response: google/gemini-3.5-flash-lite
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.5-flash-lite-20260721
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 14.3 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (2)

Oct 1, 2026API request failedReasoning setting: high
Sep 7, 2026API request failedReasoning setting: high

DeepSeek-V4.1-Flash

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: deepseek/deepseek-v4.1-flash
API model reported in response: deepseek/deepseek-v4.1-flash
Reasoning setting: high
Pinned endpoint: DeepSeek | deepseek/deepseek-v4.1-flash-20260910
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 25.8 s

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Earlier attempts (2)

Oct 2, 2026API request failedReasoning setting: high
Oct 1, 2026API request failedReasoning setting: high

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Gemini 3.5 Flash-Lite and DeepSeek-V4.1-Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash

Change model selection

General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Gemini 3.5 Flash-Lite

DeepSeek-V4.1-Flash

Pelican on a bicycle

Winning one benchmark is not an overall verdict

Related LLM comparisons