Head-to-head comparison

Gemini 3.7 Flash vs. Kimi K3

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

shared result series: 26
distinct benchmarks: 26
latest retrieval: 2026-09-29

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 3.7 Flash and Kimi K3
Attribute	Gemini 3.7 Flash	Kimi K3
Provider	Google	Moonshot AI
Released	Aug 13, 2026	Jul 16, 2026
Availability	Active	Active
Model type	Proprietary	Open Weights
Parameters	Not published	2.8T, 104B active
Architecture	Not published	Mixture of Experts
Context window	1,048,576 tokens	1,048,576 tokens
Knowledge cutoff	March 2026	Not published
Technical sources	Model, Knowledge cutoff	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 3.7 Flash and Kimi K3
Price type	Gemini 3.7 Flash	Kimi K3
API input	$0.75	$3
API output	$3.75	$15
Cache read	$0.07	$0.3
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Gemini 3.7 FlashKimi K3

API inputUSD per 1M tokens, base tier

Gemini 3.7 Flash$0.75

Kimi K3$3

API outputUSD per 1M tokens, base tier

Gemini 3.7 Flash$3.75

Kimi K3$15

Cache readUSD per 1M tokens, base tier

Gemini 3.7 Flash$0.075

Kimi K3$0.3

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 3.7 Flash and Kimi K3
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.7 Flash	Google	Direct from developerStandard API	$0.75	$3.75	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/global	$0.75	$3.75	Source10/02/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/02/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$1.35	$6.75	Source10/02/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.75	$3.75	Source10/02/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/02/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$1.35	$6.75	Source10/02/2026
Kimi K3	Moonshot AI	Direct from developerStandard API	$3	$15	Source09/22/2026
	AkashML	Via OpenRouterakashml/fp4	$3	$15	Source10/02/2026
	Alibaba	Via OpenRouteralibaba	$3.45	$17.25	Source10/02/2026
	BaseTen	Via OpenRouterbaseten/fp8	$3	$15	Source10/02/2026
	Chutes	Via OpenRouterchutes/mxfp4	$3	$15	Source10/02/2026
	Decart	Via OpenRouterdecart/mxfp4	$3	$15	Source10/02/2026
	DeepInfra	Via OpenRouterdeepinfra/bf16	$2.85	$14.25	Source10/02/2026
	DigitalOcean	Via OpenRouterdigitalocean	$2.55	$12.95	Source10/02/2026
	Fireworks	Via OpenRouterfireworks	$3	$15	Source10/02/2026
	Fireworks	Via OpenRouterfireworks/fast	$4.5	$22.5	Source10/02/2026
	Fireworks	Via OpenRouterfireworks/us	$4.5	$22.5	Source10/02/2026
	InferenceNet	Via OpenRouterinference-net/fp4	Lowest listed price: $1.34	$13	Source10/02/2026
	Makora	Via OpenRoutermakora	$2.04	$12.75	Source10/02/2026
	Modal	Via OpenRoutermodal/mxfp4	$3	$15	Source10/02/2026
	Moonshot AI	Via OpenRoutermoonshotai/mxfp4	$3	$15	Source10/02/2026
	Morph	Via OpenRoutermorph/fp8	$1.35	$11.357	Source10/02/2026
	Parasail	Via OpenRouterparasail/fp4	$3	$15	Source10/02/2026
	Phala	Via OpenRouterphala	$2.25	$11.25	Source10/02/2026
	Relace	Via OpenRouterrelace/fp4	$1.8	Lowest listed price: $11.2	Source10/02/2026
	Sail Research	Via OpenRoutersail-research/fp4	$2.8	$14	Source10/02/2026
	Together	Via OpenRoutertogether	$2.7	$13.5	Source10/02/2026
	Wafer	Via OpenRouterwafer	$1.4417	$14	Source10/02/2026
	Wafer	Via OpenRouterwafer/us	$2.8	$14	Source10/02/2026

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.

Gemini 3.7 Flash

Kimi K3

Coding: 73.9 / 88.1 (7 benchmark families)

Reasoning: 100 / 98.9 (1 benchmark family)

Mathematics: 66.7 / 100 (1 benchmark family)

Knowledge: 100 / 97.6 (1 benchmark family)

Finance: 96.5 / 96.9 (5 benchmark families)

Legal: 86.3 / 99.5 (3 benchmark families)

Agentic tasks: 95.8 / 100 (1 benchmark family)

Multimodal: 100 / 99.1 (1 benchmark family)

26 matched rows from 25 benchmark families were considered. The radar shows 8 of 13 comparable categories.

Gemini 3.7 FlashKimi K3

Code MigrationOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash34.8 %

Kimi K316.099 %

CyberBench v1.1Overall. Higher is better. No documented setup difference

Gemini 3.7 Flash43.75 %

Kimi K375.238 %

EMBOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash71.326 %

Kimi K366.399 %

Finance Agent (v2)Overall. Higher is better. No documented setup difference

Gemini 3.7 Flash59.042 %

Kimi K354.36 %

GPQA DiamondOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash93.94 %

Kimi K392.929 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference

Gemini 3.7 Flash8.75 %

Kimi K310.833 %

IOIOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash67.833 %

Kimi K348.944 %

Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference

Gemini 3.7 Flash34.615 %

Kimi K344.231 %

LegalBenchOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash87.256 %

Kimi K386.016 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

Gemini 3.7 Flash88.652 %

Kimi K387.185 %

MedCodeOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash53.39 %

Kimi K348.884 %

MedScribeOverall. Higher is better. No documented setup difference

Gemini 3.7 Flash83.942 %

Kimi K387.958 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.7 Flash and Kimi K3
Benchmark and task	Gemini 3.7 Flash	Kimi K3	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner34.8 %	16.099 %	Vals AI Source details Data as of: 09/27/2026
CyberBench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better	43.75 %	Winner75.238 %	Vals AI Source details Data as of: 09/27/2026
EMBOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner71.326 %	66.399 %	Vals AI Source details Data as of: 09/27/2026
Finance Agent (v2)Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner59.042 %	54.36 %	Vals AI Source details Data as of: 09/27/2026
GPQA DiamondOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner93.94 %	92.929 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better	8.75 %	Winner10.833 %	Vals AI Source details Data as of: 09/27/2026
IOIOverall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner67.833 %	48.944 %	Vals AI Source details Data as of: 09/27/2026
Legal Research BenchOverall · All-pass Test details No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better	34.615 %	Winner44.231 %	Vals AI Source details Data as of: 09/27/2026
LegalBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner87.256 %	86.016 %	Vals AI Source details Data as of: 09/27/2026
LiveCodeBench v6Overall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner88.652 %	87.185 %	Vals AI Source details Data as of: 09/01/2026
MedCodeOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner53.39 %	48.884 %	Vals AI Source details Data as of: 09/26/2026
MedScribeOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	83.942 %	Winner87.958 %	Vals AI Source details Data as of: 09/26/2026
MMLU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner90.121 %	87.973 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner88.96 %	88.15 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner66.654 %	66.336 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	0 %	Winner2 %	Vals AI Source details Data as of: 09/27/2026
ProofBenchOverall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better	58 %	Winner87 %	Vals AI Source details Data as of: 09/28/2026
SAGEOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	49.232 %	Winner54.26 %	Vals AI Source details Data as of: 09/26/2026
SWE-bench VerifiedOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	80.8 %	Winner93.4 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	57.665 %	Winner68.672 %	Vals AI Source details Data as of: 09/27/2026
TaxEval v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	74.734 %	Winner75.716 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Overall Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better	77.528 %	Winner80.899 %	Vals AI Source details Data as of: 09/27/2026
Terminal-Bench 4.0Overall Test details No documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is better	6.061 %	Winner12.626 %	Vals AI Source details Data as of: 09/27/2026
Terminal-Bench ScienceOverall Test details No documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is better	Winner5.714 %	2.857 %	Vals AI Source details Data as of: 09/27/2026
Vals IndexOverall Test details No documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better	Winner59.307 %	57.813 %	Vals AI Source details Data as of: 09/27/2026
Vibe Code Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands	70.395 %	Winner84.963 %	Vals AI Source details Data as of: 09/27/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 3.7 Flash

API access was unavailable for this run. The model was not evaluated.

Reasoning (requested): high

First attempt

Run date: 7 Sept 2026
API provider: openrouter
Requested API model: google/gemini-3.7-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.7-flash-20260813
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Not run

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

Kimi K3

API access was unavailable for this run. The model was not evaluated.

Reasoning (requested): high

First attempt

Run date: 7 Sept 2026
API provider: openrouter
Requested API model: moonshotai/kimi-k3
Reasoning setting: high
Pinned endpoint: Moonshot AI | moonshotai/kimi-k3-20260715
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Not run

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

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 3.7 Flash and Kimi K3 with other leading models using the same data and benchmark logic.

View the complete LLM comparison