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Head-to-head comparison

Gemini 3.1 Pro Preview vs. Gemini 3.5 Flash-Lite

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

shared result series
143
distinct benchmarks
25
latest retrieval
2026-09-29

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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 3.1 Pro Preview and Gemini 3.5 Flash-Lite
AttributeGemini 3.1 Pro PreviewGemini 3.5 Flash-Lite
ProviderGoogleGoogle
ReleasedFeb 19, 2026Jul 21, 2026
AvailabilityPreviewActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,048,576 tokens1,048,576 tokens
Knowledge cutoffNot publishedNot published
Technical sourcesModelModel

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 3.1 Pro Preview and Gemini 3.5 Flash-Lite
Price typeGemini 3.1 Pro PreviewGemini 3.5 Flash-Lite
API input$2 ≤200K / $4 >200K$0.3
API output$12 ≤200K / $18 >200K$2.5
Cache read$0.2 ≤200K / $0.4 >200K$0.03
Cache write (5 min.)Not listedNot listed
Cache write (1 hr.)Not listedNot listed
Price verified09/22/2026 Source09/22/2026 Source
Gemini 3.1 Pro PreviewGemini 3.5 Flash-Lite
API inputUSD per 1M tokens, base tier
Gemini 3.1 Pro Preview$2
Gemini 3.5 Flash-LiteLower price$0.3
API outputUSD per 1M tokens, base tier
Gemini 3.1 Pro Preview$12
Gemini 3.5 Flash-LiteLower price$2.5
Cache readUSD per 1M tokens, base tier
Gemini 3.1 Pro Preview$0.2
Gemini 3.5 Flash-LiteLower price$0.03

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 3.1 Pro Preview and Gemini 3.5 Flash-Lite
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Gemini 3.1 Pro PreviewGoogleDirect from developerUp to 200,000 context tokens$2$12Source09/22/2026
GoogleDirect from developerAbove 200,000 context tokens$4$18Source09/22/2026
GoogleVia OpenRoutergoogle-vertex/global$2$12Source10/03/2026
GoogleVia OpenRoutergoogle-vertex/global/priority$3.6$21.6Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio$2$12Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/flexLowest listed price: $1Lowest listed price: $6Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/priority$3.6$21.6Source10/03/2026
Gemini 3.5 Flash-LiteGoogleDirect from developerStandard API$0.3$2.5Source09/22/2026
GoogleVia OpenRoutergoogle-vertex/eu$0.33$2.75Source10/03/2026
GoogleVia OpenRoutergoogle-vertex/global$0.3$2.5Source10/03/2026
GoogleVia OpenRoutergoogle-vertex/global/flexLowest listed price: $0.15Lowest listed price: $1.25Source10/03/2026
GoogleVia OpenRoutergoogle-vertex/global/priority$0.54$4.5Source10/03/2026
GoogleVia OpenRoutergoogle-vertex/us$0.33$2.75Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio$0.3$2.5Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/flexLowest listed price: $0.15Lowest listed price: $1.25Source10/03/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/priority$0.54$4.5Source10/03/2026

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.

255075100CodingReasoningMathematicsKnowledgeFinanceLegalAgentic tasksMultimodal
Gemini 3.1 Pro Preview
Gemini 3.5 Flash-Lite
Coding: 97.5 / 84.5 (6 benchmark families)
Reasoning: 100 / 92.8 (2 benchmark families)
Mathematics: 100 / 97.1 (1 benchmark family)
Knowledge: 100 / 96 (2 benchmark families)
Finance: 98.1 / 96 (7 benchmark families)
Legal: 100 / 94.1 (4 benchmark families)
Agentic tasks: 100 / 68.6 (1 benchmark family)
Multimodal: 100 / 94.8 (1 benchmark family)

123 matched rows from 24 benchmark families were considered. The radar shows 8 of 13 comparable categories.

Gemini 3.1 Pro PreviewGemini 3.5 Flash-Lite
Code MigrationOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner17.313 %
Gemini 3.5 Flash-Lite6.148 %
CorpFin v2Overall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner64.491 %
Gemini 3.5 Flash-Lite60.684 %
CyberBench v1.1Patch. Higher is better. Test setup not documented as identical
Gemini 3.1 Pro Preview69.492 %
Gemini 3.5 Flash-LiteHigher measured value77.966 %
EMBOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner52.616 %
Gemini 3.5 Flash-Lite43.231 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Gemini 3.1 Pro Preview42.982 %
Gemini 3.5 Flash-LiteWinner47.442 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner95.454 %
Gemini 3.5 Flash-Lite83.838 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewTie0 %
Gemini 3.5 Flash-LiteTie0 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner20.673 %
Gemini 3.5 Flash-Lite13.942 %
LegalBenchOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner87.398 %
Gemini 3.5 Flash-Lite84.073 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner88.485 %
Gemini 3.5 Flash-Lite79.014 %
LMArena Text, Style ControlOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner1,486.678
Gemini 3.5 Flash-Lite1,456.026
MedCodeOverall. Higher is better. No documented setup difference
Gemini 3.1 Pro PreviewWinner59.062 %
Gemini 3.5 Flash-Lite43.489 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.1 Pro Preview and Gemini 3.5 Flash-Lite
Benchmark and taskGemini 3.1 Pro PreviewGemini 3.5 Flash-LiteSource
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner17.313 %
6.148 %
Vals AI
Source details
Data as of: 09/27/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner64.491 %
60.684 %
Vals AI
Source details
Data as of: 08/12/2026
CyberBench v1.1Patch
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
69.492 %
Higher measured value77.966 %
Vals AI
Source details
Data as of: 08/03/2026
EMBOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner52.616 %
43.231 %
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
42.982 %
Winner47.442 %
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
Winner95.454 %
83.838 %
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
Tie0 %
Tie0 %
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
Winner20.673 %
13.942 %
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
Winner87.398 %
84.073 %
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
Winner88.485 %
79.014 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Text, Style ControlOverall
Test details
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control
Gemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control
Gemini 3.1 Pro Preview: Style-controlled Arena rating from 119,196 anonymous pairwise votes.Gemini 3.5 Flash-Lite: Style-controlled Arena rating from 33,501 anonymous pairwise votes.
Winner1,486.678
95% confidence interval: ±3.034The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,456.026
95% confidence interval: ±4.576The 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: 09/25/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner59.062 %
43.489 %
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
Winner76.114 %
70.886 %
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
Winner90.987 %
85.836 %
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
Winner88.208 %
83.584 %
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
Winner69.396 %
68.68 %
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: 09/27/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
Winner53.789 %
51.827 %
Vals AI
Source details
Data as of: 09/27/2026
SAGEOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner48.677 %
47.303 %
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
Winner78.8 %
75 %
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
Winner37.842 %
37.451 %
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
Winner72.882 %
72.608 %
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
Winner70.787 %
50.187 %
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
Winner41.903 %
36.711 %
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
32.034 %
Winner37.161 %
Vals AI
Source details
Data as of: 09/27/2026
Code MigrationCLI
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner10.833 %
5.875 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner60.839 %
57.459 %
Vals AI
Source details
Data as of: 08/06/2026
CyberBench v1.1PoC
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
3.39 %
Higher measured value66.667 %
Vals AI
Source details
Data as of: 08/03/2026
EMBComps
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
44.505 %
Winner46.417 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
38.361 %
Winner41.741 %
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 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value95.96 %
81.818 %
Vals AI
Source details
Data as of: 08/09/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner24.242 %
19.697 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner89.257 %
88.404 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Easy
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner99.068 %
98.758 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control
Gemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control
Gemini 3.1 Pro Preview: Style-controlled Arena rating from 23,398 anonymous pairwise votes.Gemini 3.5 Flash-Lite: Style-controlled Arena rating from 6,238 anonymous pairwise votes.
Winner1,477.195
95% confidence interval: ±5.145The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,453.642
95% confidence interval: ±8.177The 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: 09/25/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value95.258 %
91.911 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxNumerical Extraction
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner76.391 %
75.835 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner1 %
0 %
Vals AI
Source details
Data as of: 08/09/2026
SAGEAutomata
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens
Winner32.143 %
28.968 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified<15 min fix
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner88.66 %
85.567 %
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 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
60.749 %
Higher measured value61.733 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Easy
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner91.667 %
66.667 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexCorpFin v2
Test details
No documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner65.734 %
62.238 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner36.753 %
6.964 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner66.9 %
62.354 %
Vals AI
Source details
Data as of: 08/06/2026
EMBDataroom
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner79.17 %
57.687 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
30.879 %
Winner35.265 %
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 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value94.949 %
85.859 %
Vals AI
Source details
Data as of: 08/09/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
No documented difference in the test setupVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner79.215 %
71.96 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner83.823 %
80.332 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Hard
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner76.571 %
53.429 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlChinese
Test details
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style control
Gemini 3.5 Flash-Lite: Snapshot: gemini-3.5-flash-lite, Harness: Arena text, style control
Gemini 3.1 Pro Preview: Style-controlled Arena rating from 8,183 anonymous pairwise votes.Gemini 3.5 Flash-Lite: Style-controlled Arena rating from 2,584 anonymous pairwise votes.
Winner1,528.226
95% confidence interval: ±7.531The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,483.555
95% confidence interval: ±12.381The 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: 09/25/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value93.409 %
90.621 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxSemantic Extraction
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner62.401 %
61.526 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Tie0 %
Tie0 %
Vals AI
Source details
Data as of: 08/09/2026
SAGECalculus
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens
Winner78.395 %
60.494 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified>4 hours
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Tie33.333 %
Tie33.333 %
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 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens
Gemini 3.5 Flash-Lite: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value85.016 %
83.483 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Hard
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner60 %
31.111 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
No documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
42.968 %
Winner46.626 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCode Quality
Test details
No documented difference in the test setupVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
2.538 / 5
Winner2.652 / 5
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Shared Max Context
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner65.734 %
62.238 %
Vals AI
Source details
Data as of: 08/06/2026
EMBDCF
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Winner46.388 %
33.614 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Comparables
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
36.66 %
Winner45.186 %
Vals AI
Source details
Data as of: 08/06/2026

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 3.1 Pro Preview

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-3.1-pro-preview
Reasoning setting
high
Pinned endpoint
Google AI Studio | google/gemini-3.1-pro-preview-20260219
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.

Gemini 3.5 Flash-Lite

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-3.5-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
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 3.1 Pro Preview and Gemini 3.5 Flash-Lite with other leading models using the same data and benchmark logic.

View the complete LLM comparison