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Head-to-head comparison

Gemini 3.5 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
202
distinct benchmarks
20
latest retrieval
2026-09-04

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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 and GLM-5.1
AttributeGemini 3.5 FlashGLM-5.1
ProviderGoogleZ.ai
ReleasedMay 19, 2026Apr 7, 2026
AvailabilityActiveOpen Source
Model typeProprietaryOpen Weights
ParametersNot published744B, 40B active
ArchitectureNot publishedMixture of Experts
Context window1,048,576 tokens200,000 tokens
Knowledge cutoffNot publishedNot published
Technical sourcesModelModel, 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 Gemini 3.5 Flash and GLM-5.1
Price typeGemini 3.5 FlashGLM-5.1
API input$1.5$1.4
API output$9$4.4
Cache read$0.15$0.26
Cache write (5 min.)Not listedNot listed
Cache write (1 hr.)Not listedNot listed
Price verified07/30/2026 Source07/30/2026 Source
Gemini 3.5 FlashGLM-5.1
API inputUSD per 1M tokens, base tier
Gemini 3.5 Flash$1.5
GLM-5.1Lower price$1.4
API outputUSD per 1M tokens, base tier
Gemini 3.5 Flash$9
GLM-5.1Lower price$4.4
Cache readUSD per 1M tokens, base tier
Gemini 3.5 FlashLower price$0.15
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 Gemini 3.5 Flash and GLM-5.1
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Gemini 3.5 FlashGoogleDirect from developerStandard API$1.5$9Source07/30/2026
GoogleVia OpenRoutergoogle-vertex/global$1.5$9Source09/06/2026
GoogleVia OpenRoutergoogle-vertex/global/flexLowest listed price: $0.75Lowest listed price: $4.5Source09/06/2026
GoogleVia OpenRoutergoogle-vertex/global/priority$2.7$16.2Source09/06/2026
GoogleVia OpenRoutergoogle-vertex/us$1.65$9.9Source09/06/2026
Google AI StudioVia OpenRoutergoogle-ai-studio$1.5$9Source09/06/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/flexLowest listed price: $0.75Lowest listed price: $4.5Source09/06/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/priority$2.7$16.2Source09/06/2026
GLM-5.1Z.aiDirect from developerStandard API$1.4$4.4Source07/30/2026
AlibabaVia OpenRouteralibaba/fp8$1.33$4.18Source09/06/2026
AtlasCloudVia OpenRouteratlas-cloud/fp8$1.26$3.96Source09/06/2026
BaiduVia OpenRouterbaidu/fp8Lowest listed price: $0.9086Lowest listed price: $2.8556Source09/06/2026
ChutesVia OpenRouterchutes/fp8$0.98$3.08Source09/06/2026
CrusoeVia OpenRoutercrusoe/fp8$1.2$4.4Source09/06/2026
DeepInfraVia OpenRouterdeepinfra/fp4$1.05$3.5Source09/06/2026
DigitalOceanVia OpenRouterdigitalocean$1.3$4.3Source09/06/2026
FriendliVia OpenRouterfriendli$1.4$4.4Source09/06/2026
GMICloudVia OpenRoutergmicloud/fp8$0.91$2.86Source09/06/2026
NebiusVia OpenRouternebius/fp8$1.4$4.4Source09/06/2026
NovitaVia OpenRouternovita/fp8$1.38$4.4Source09/06/2026
PhalaVia OpenRouterphala$1.21$4.2Source09/06/2026
SiliconFlowVia OpenRoutersiliconflow/fp8$1.19$3.74Source09/06/2026
StreamLakeVia OpenRouterstreamlake/fp8$0.966$3.036Source09/06/2026
VeniceVia OpenRoutervenice/fp8$1.54$4.84Source09/06/2026
Z.AIVia OpenRouterz-ai/fp8$1.4$4.4Source09/06/2026

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.

255075100CodingReasoningKnowledgeFinanceLegalAgentic tasksProductivityHealth
Gemini 3.5 Flash
GLM-5.1
Coding: 100 / 90.2 (5 benchmark families)
Reasoning: 100 / 91.2 (1 benchmark family)
Knowledge: 100 / 97.1 (1 benchmark family)
Finance: 100 / 90.9 (3 benchmark families)
Legal: 99.7 / 63.5 (3 benchmark families)
Agentic tasks: 100 / 78.4 (1 benchmark family)
Productivity: 96.2 / 100 (1 benchmark family)
Health: 100 / 84.5 (2 benchmark families)

19 matched rows from 18 benchmark families were considered. The radar shows 8 of 9 comparable categories.

Gemini 3.5 FlashGLM-5.1
Code MigrationOverall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner26.745 %
GLM-5.125.768 %
CorpFin v2Overall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner64.686 %
GLM-5.164.452 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner57.861 %
GLM-5.144.792 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner92.676 %
GLM-5.184.518 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner2.5 %
GLM-5.10 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner30.769 %
GLM-5.127.885 %
LegalBenchOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash83.602 %
GLM-5.1Winner84.394 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner87.604 %
GLM-5.181.38 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Gemini 3.5 FlashHigher measured value1,479.148
GLM-5.11,466.019
MedCodeOverall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner55.825 %
GLM-5.141.604 %
MedScribeOverall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner76.574 %
GLM-5.172.27 %
MMLU-ProOverall. Higher is better. No documented setup difference
Gemini 3.5 FlashWinner89.515 %
GLM-5.186.9 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.5 Flash and GLM-5.1
Benchmark and taskGemini 3.5 FlashGLM-5.1Source
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner26.745 %
25.768 %
Vals AI
Source details
Data as of: 09/03/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner64.686 %
64.452 %
Vals AI
Source details
Data as of: 08/12/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner57.861 %
44.792 %
Vals AI
Source details
Data as of: 09/03/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner92.676 %
84.518 %
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
Winner2.5 %
0 %
Vals AI
Source details
Data as of: 09/03/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better
Winner30.769 %
27.885 %
Vals AI
Source details
Data as of: 09/03/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
83.602 %
Winner84.394 %
Vals AI
Source details
Data as of: 09/01/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner87.604 %
81.38 %
Vals AI
Source details
Data as of: 09/01/2026
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: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style control
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlGemini 3.5 Flash: Style-controlled Arena rating from 33,874 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 45,403 anonymous pairwise votes.
Higher measured value1,479.148
95% confidence interval: ±4.345The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,466.019
95% confidence interval: ±3.982The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.		LMArena
Source details
Data as of: 09/01/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner55.825 %
41.604 %
Vals AI
Source details
Data as of: 09/03/2026
MedScribeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner76.574 %
72.27 %
Vals AI
Source details
Data as of: 09/03/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner89.515 %
86.9 %
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
Tie0 %
Tie0 %
Vals AI
Source details
Data as of: 09/01/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
59.472 %
Winner61.84 %
Vals AI
Source details
Data as of: 09/01/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner78.8 %
76.4 %
Vals AI
Source details
Data as of: 09/01/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner74.366 %
71.194 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.0Overall
Test details
No documented difference in the test setupVersion: 2.0Metric: accuracyScoring: Higher is better
Winner67.416 %
53.933 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
Winner74.157 %
56.929 %
Vals AI
Source details
Data as of: 09/03/2026
Vals IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
64.569 %
Higher measured value65.268 %
Vals AI
Source details
Data as of: 08/09/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
Winner48.683 %
31.456 %
Vals AI
Source details
Data as of: 09/03/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
17.175 %
Higher measured value18.833 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value62.821 %
61.772 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value54.869 %
43.276 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value91.414 %
85.787 %
Vals AI
Source details
Data as of: 08/09/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value84.42 %
71.377 %
Vals AI
Source details
Data as of: 08/07/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value43.939 %
31.818 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
81.939 %
Higher measured value89.575 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value99.068 %
98.754 %
Vals AI
Source details
Data as of: 08/09/2026
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: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena text, style control
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlGemini 3.5 Flash: Style-controlled Arena rating from 32,274 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 45,403 anonymous pairwise votes.
Higher measured value1,474.438
95% confidence interval: ±4.676The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,466.019
95% confidence interval: ±3.982The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.		LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value93.863 %
93.724 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value1.5 %
1 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified<15 min fix
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
86.598 %
Higher measured value88.66 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Correctness
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value61.897 %
61.538 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.0Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value100 %
75 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value100 %
83.333 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value58.101 %
44.79 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value55.455 %
46.571 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value66.667 %
66.317 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value45.706 %
32.68 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value93.939 %
83.249 %
Vals AI
Source details
Data as of: 08/09/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/07/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value87.126 %
80.005 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value88.675 %
81.709 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value73.143 %
57.429 %
Vals AI
Source details
Data as of: 08/09/2026
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: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style control
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlGemini 3.5 Flash: Style-controlled Arena rating from 6,750 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 9,036 anonymous pairwise votes.
Higher measured value1,465.666
95% confidence interval: ±7.938The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,464.877
95% confidence interval: ±7.07The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.		LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value93.283 %
91.128 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified>4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner33.333 %
No direct winner33.333 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value86.836 %
80.851 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.0Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value53.333 %
36.667 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value60 %
37.778 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexSWE-bench
Test details
No documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is better
Winner75.49 %
72.549 %
Vals AI
Source details
Data as of: 08/09/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
2.789 / 5
Higher measured value3.544 / 5
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Shared Max Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
64.569 %
Higher measured value65.268 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Comparables
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value48.782 %
41.557 %
Vals AI
Source details
Data as of: 08/06/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value78.495 %
53.405 %
Vals AI
Source details
Data as of: 08/07/2026
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: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value27.907 %
23.256 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchIssue Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
76.014 %
Higher measured value89.02 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Medium
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value90.601 %
87.958 %
Vals AI
Source details
Data as of: 08/09/2026
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: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena text, style control
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlGemini 3.5 Flash: Style-controlled Arena rating from 6,429 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 9,036 anonymous pairwise votes.
1,460.515
95% confidence interval: ±8.197The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,464.877
95% confidence interval: ±7.07The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.		LMArena
Source details
Data as of: 09/01/2026
MMLU-ProChemistry
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value93.11 %
91.844 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchRaw Pass Rate
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value56.356 %
50.879 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified1-4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value52.381 %
45.238 %
Vals AI
Source details
Data as of: 08/08/2026
Terminal-Bench 2.0Medium
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value72.727 %
61.818 %
Vals AI
Source details
Data as of: 06/04/2026

Key to the marks:better valuebetter, but not conclusivetie

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.

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