Head-to-head comparison

DeepSeek-V4.1-Flash vs. GLM-5.1

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

shared result series: 10
distinct benchmarks: 10
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 DeepSeek-V4.1-Flash and GLM-5.1
Attribute	DeepSeek-V4.1-Flash	GLM-5.1
Provider	DeepSeek	Z.ai
Released	Sep 10, 2026	Apr 7, 2026
Availability	Active	Open Source
Model type	Open Weights	Open Weights
Parameters	552B	744B, 40B active
Architecture	Mixture of Experts	Mixture of Experts
Context window	1,000,000 tokens	200,000 tokens
Knowledge cutoff	Not published	Not published
Technical sources	Model	Model, Context

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 DeepSeek-V4.1-Flash and GLM-5.1
Price type	DeepSeek-V4.1-Flash	GLM-5.1
API input	$0.15 (Off-Peak)	$1.4
API output	$0.6 (Off-Peak)	$4.4
Cache read	$0. (Off-Peak)	$0.26
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/23/2026 Source	09/22/2026 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.

DeepSeek-V4.1-FlashGLM-5.1

API inputUSD per 1M tokens, base tier

DeepSeek-V4.1-Flash$0.15

GLM-5.1$1.4

API outputUSD per 1M tokens, base tier

DeepSeek-V4.1-Flash$0.6

GLM-5.1$4.4

Cache readUSD per 1M tokens, base tier

DeepSeek-V4.1-Flash$0.003

GLM-5.1$0.26

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 DeepSeek-V4.1-Flash and GLM-5.1
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
DeepSeek-V4.1-Flash	DeepSeek	Direct from developerStandard API	$0.15	$0.6	Source09/23/2026
	Alibaba	Via OpenRouteralibaba	$0.3	$1.2	Source10/07/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$0.141	$0.564	Source10/07/2026
	Baidu	Via OpenRouterbaidu/fp8	$0.3	$1.2	Source10/07/2026
	BaseTen	Via OpenRouterbaseten/fp8#1	$0.3	$1.2	Source10/07/2026
	BaseTen	Via OpenRouterbaseten/fp8#2	$0.3	$1.2	Source10/07/2026
	CoreWeave	Via OpenRoutercoreweave/fp8	$0.2	$0.65	Source10/07/2026
	Decart	Via OpenRouterdecart/fp4	$0.09	Lowest listed price: $0.18	Source10/07/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.14	$0.42	Source10/07/2026
	DeepSeek	Via OpenRouterdeepseek	$0.3	$1.2	Source10/07/2026
	DekaLLM	Via OpenRouterdekallm	$0.12	$2.4	Source10/07/2026
	DigitalOcean	Via OpenRouterdigitalocean	$0.18	$0.72	Source10/07/2026
	Fireworks	Via OpenRouterfireworks/us	$0.45	$1.8	Source10/07/2026
	GMICloud	Via OpenRoutergmicloud/fp8	$0.18	$0.72	Source10/07/2026
	InferenceNet	Via OpenRouterinference-net/fp8	$0.039	$0.3	Source10/07/2026
	Ionstream	Via OpenRouterionstream	$0.1386	$1.15	Source10/07/2026
	Makora	Via OpenRoutermakora/fp8	$0.27	$1.15	Source10/07/2026
	Modal	Via OpenRoutermodal	$0.3	$1.2	Source10/07/2026
	Morph	Via OpenRoutermorph/fp8	$0.15	$0.471	Source10/07/2026
	Novita	Via OpenRouternovita/fp8	$0.195	$0.78	Source10/07/2026
	Parasail	Via OpenRouterparasail/fp8	$0.3	$1.2	Source10/07/2026
	Phala	Via OpenRouterphala	$0.21	$0.84	Source10/07/2026
	Reka	Via OpenRouterreka	$0.105	$0.84	Source10/07/2026
	Relace	Via OpenRouterrelace	$0.044	$0.3	Source10/07/2026
	Sail Research	Via OpenRoutersail-research/fp4	$0.08	$0.4	Source10/07/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$0.3	$1.2	Source10/07/2026
	StreamLake	Via OpenRouterstreamlake/fp8	$0.141	$0.564	Source10/07/2026
	Together	Via OpenRoutertogether	$0.3	$1.2	Source10/07/2026
	Venice	Via OpenRoutervenice/fp8	$0.3	$1.2	Source10/07/2026
	Wafer	Via OpenRouterwafer	Lowest listed price: $0.038	$1.2	Source10/07/2026
GLM-5.1	Z.ai	Direct from developerStandard API	$1.4	$4.4	Source09/22/2026
	Chutes	Via OpenRouterchutes/fp8	$0.98	$3.08	Source10/07/2026
	Friendli	Via OpenRouterfriendli	$1.4	$4.4	Source10/07/2026
	Nebius	Via OpenRouternebius/fp8	$1.4	$4.4	Source10/07/2026
	Novita	Via OpenRouternovita/fp8	$1.38	$4.4	Source10/07/2026
	Phala	Via OpenRouterphala	$1.21	$4.2	Source10/07/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$1.19	$3.74	Source10/07/2026
	StreamLake	Via OpenRouterstreamlake/fp8	Lowest listed price: $0.966	Lowest listed price: $3.036	Source10/07/2026
	Venice	Via OpenRoutervenice/fp8	$1.4014	$4.4044	Source10/07/2026
	Z.AI	Via OpenRouterz-ai/fp8	$1.4	$4.4	Source10/07/2026

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.

DeepSeek-V4.1-Flash

GLM-5.1

Coding: 100 / 46.8 (2 benchmark families)

Finance: 100 / 83.8 (1 benchmark family)

Legal: 99.6 / 55.8 (3 benchmark families)

Agentic tasks: 100 / 76.4 (1 benchmark family)

Productivity: 100 / 96.2 (1 benchmark family)

Health: 99.5 / 92.3 (2 benchmark families)

10 matched rows from 10 benchmark families were considered. The radar shows 6 of 6 comparable categories.

DeepSeek-V4.1-FlashGLM-5.1

Code MigrationOverall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash45.623 %

GLM-5.125.768 %

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

DeepSeek-V4.1-Flash53.481 %

GLM-5.144.792 %

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

DeepSeek-V4.1-Flash6.667 %

GLM-5.10 %

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

DeepSeek-V4.1-Flash41.346 %

GLM-5.127.885 %

LegalBenchOverall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash83.277 %

GLM-5.184.394 %

MedCodeOverall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash41.173 %

GLM-5.141.604 %

MedScribeOverall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash85.5 %

GLM-5.172.27 %

Public Benefits Bench v1.1Overall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash64.276 %

GLM-5.161.84 %

Terminal-Bench 2.1Overall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash74.532 %

GLM-5.156.929 %

Vibe Code Bench v1.1Overall. Higher is better. No documented setup difference

DeepSeek-V4.1-Flash84.739 %

GLM-5.131.456 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for DeepSeek-V4.1-Flash and GLM-5.1
Benchmark and task	DeepSeek-V4.1-Flash	GLM-5.1	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner45.623 %	25.768 %	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	Winner53.481 %	44.792 %	Vals AI Source details Data as of: 09/27/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better	Winner6.667 %	0 %	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	Winner41.346 %	27.885 %	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	83.277 %	Winner84.394 %	Vals AI Source details Data as of: 09/27/2026
MedCodeOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	41.173 %	Winner41.604 %	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	Winner85.5 %	72.27 %	Vals AI Source details Data as of: 09/26/2026
Public Benefits Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better	Winner64.276 %	61.84 %	Vals AI Source details Data as of: 09/27/2026
Terminal-Bench 2.1Overall Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better	Winner74.532 %	56.929 %	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	Winner84.739 %	31.456 %	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 latest attempt, with no subsequent fixes to the generated code. Earlier runs remain available in the test details. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

DeepSeek-V4.1-Flash

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

Reasoning (requested): high

Current attempt

Run date: 2 Oct 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: 30.5 s

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

Earlier attempts (1)

1 Oct 2026API request failedReasoning setting: high

GLM-5.1

Output withheld for safety

Reasoning (requested): high

Current attempt

Run date: 2 Oct 2026
API provider: openrouter
Requested API model: z-ai/glm-5.1
API model reported in response: z-ai/glm-5.1
Reasoning setting: high
Pinned endpoint: Z.AI | z-ai/glm-5.1-20260406
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 178.8 s

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

Earlier attempts (2)

1 Oct 2026API request failedReasoning setting: high
7 Sept 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 DeepSeek-V4.1-Flash and GLM-5.1 with other leading models using the same data and benchmark logic.

View the complete LLM comparison