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Head-to-head comparison

Gemini 3.7 Flash vs. Muse Wonder

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

shared result series
161
distinct benchmarks
15
latest retrieval
2026-10-15

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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 3.7 Flash and Muse Wonder
AttributeGemini 3.7 FlashMuse Wonder
ProviderGoogleMeta
ReleasedAug 13, 2026Oct 12, 2026
AvailabilityActivePreview
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,048,576 tokens1,048,576 tokens
Knowledge cutoffMarch 2026Not published
Technical sourcesModel, Knowledge cutoffModel, 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 3.7 Flash and Muse Wonder
Price typeGemini 3.7 FlashMuse Wonder
API input$0.75$4
API output$3.75$20
Cache read$0.075$0.2
Cache write (5 min.)Not listedNot listed
Cache write (1 hr.)Not listedNot listed
Price verified09/22/2026 Source10/15/2026 Source
Gemini 3.7 FlashMuse Wonder
API inputUSD per 1M tokens, base tier
Gemini 3.7 FlashLower price$0.75
Muse Wonder$4
API outputUSD per 1M tokens, base tier
Gemini 3.7 FlashLower price$3.75
Muse Wonder$20
Cache readUSD per 1M tokens, base tier
Gemini 3.7 FlashLower price$0.075
Muse Wonder$0.2

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.

No provider tariff for Muse Wonder is available in the stored OpenRouter snapshot. The official direct price is still shown.

Provider pricing for Gemini 3.7 Flash and Muse Wonder
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Gemini 3.7 FlashGoogleDirect from developerStandard API$0.75$3.75Source09/22/2026
GoogleVia OpenRoutergoogle-vertex/global/priority$1.35$6.75Source10/16/2026
GoogleVia OpenRoutergoogle-vertex/us$0.825$4.125Source10/16/2026
Google AI StudioVia OpenRoutergoogle-ai-studio$0.75$3.75Source10/16/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/flexLowest listed price: $0.375Lowest listed price: $1.875Source10/16/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/priority$1.35$6.75Source10/16/2026
Muse WonderMetaDirect from developerStandard APILowest listed price: $4Lowest listed price: $20Source10/15/2026

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 3.7 FlashMuse Wonder
Code MigrationOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash34.8 %
Muse WonderHigher measured value62.552 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash43.75 %
Muse WonderHigher measured value80.357 %
EMBOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 FlashHigher measured value71.326 %
Muse Wonder67.084 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
Gemini 3.7 FlashHigher measured value59.042 %
Muse Wonder56.637 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash8.75 %
Muse WonderHigher measured value17.083 %
IOIOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 FlashHigher measured value67.833 %
Muse Wonder66.944 %
Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash34.615 %
Muse WonderHigher measured value50.481 %
LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash1,589.906
Muse WonderHigher measured value1,650.947
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash1,487.39
Muse WonderHigher measured value1,512.671
ProofBenchOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash58 %
Muse WonderHigher measured value84 %
Tax Agent BenchOverall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash22.798 %
Muse WonderHigher measured value36.269 %
Terminal-Bench 4.0Overall. Higher is better. Test setup not documented as identical
Gemini 3.7 Flash12.121 %
Muse WonderHigher measured value49.495 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.7 Flash and Muse Wonder
Benchmark and taskGemini 3.7 FlashMuse WonderSource
Code MigrationOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
34.8 %
Higher measured value62.552 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
43.75 %
Higher measured value80.357 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value71.326 %
67.084 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value59.042 %
56.637 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
8.75 %
Higher measured value17.083 %
Vals AI
Source details
Data as of: 10/12/2026
IOIOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value67.833 %
66.944 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchOverall · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
34.615 %
Higher measured value50.481 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.7 Flash: Arena rating from 11,731 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,589.906
95% confidence interval: ±6.967The 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 value1,650.947
95% confidence interval: ±18.263The 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 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.7 Flash: Arena rating from 26,328 published pairwise votes.Muse Wonder: Arena rating from 1,944 published pairwise votes.
1,487.39
95% confidence interval: ±4.927The 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 value1,512.671
95% confidence interval: ±13.236The 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
ProofBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
58 %
Higher measured value84 %
Vals AI
Source details
Data as of: 10/12/2026
Tax Agent BenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
22.798 %
Higher measured value36.269 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
12.121 %
Higher measured value49.495 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
7.143 %
Higher measured value22.857 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
51.273 %
Higher measured value61.062 %
Vals AI
Source details
Data as of: 10/13/2026
Vibe Code Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens
70.395 %
Higher measured value83.089 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
23.543 %
Higher measured value60.07 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value87.5 %
85.714 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
74.609 %
Higher measured value79.488 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value54.718 %
52.67 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
89.493 %
Higher measured value93.841 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2024
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value72.833 %
66.833 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
42.424 %
Higher measured value63.636 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev
Test details
Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.7 Flash: Arena rating from 11,731 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,589.906
95% confidence interval: ±6.967The 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 value1,650.947
95% confidence interval: ±18.263The 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 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 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.7 Flash: Arena rating from 4,791 published pairwise votes.Muse Wonder: Arena rating from 338 published pairwise votes.
1,482.815
95% confidence interval: ±9.166The 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 value1,500.247
95% confidence interval: ±30.856The 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
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
6.667 %
Higher measured value20 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Hardware
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
13.333 %
Higher measured value46.667 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value50 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexCode Migration
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
28.997 %
Higher measured value62.009 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
68.571 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value75 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value86.481 %
79.232 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value47.45 %
45.936 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value20 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2025
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
69.833 %
Higher measured value75.5 %
Vals AI
Source details
Data as of: 10/14/2026
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
85.147 %
Higher measured value90.571 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html
Test details
Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.7 Flash: Arena rating from 1,728 published pairwise votes.Muse Wonder: Arena rating from 158 published pairwise votes.
1,594.323
95% confidence interval: ±15.921The 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 value1,721.908
95% confidence interval: ±51.47The 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 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.7 Flash: Arena rating from 7,245 published pairwise votes.Muse Wonder: Arena rating from 487 published pairwise votes.
1,516.23
95% confidence interval: ±7.781The 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 value1,557.956
95% confidence interval: ±26.189The 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
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
45.997 %
Higher measured value71.362 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Media
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value33.333 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexEMB
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value71.326 %
67.084 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCode Quality
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
3.664 / 5
Higher measured value4.061 / 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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value66.059 %
51.035 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value50.283 %
47.933 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
86.738 %
Higher measured value92.473 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2026
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value60.833 %
58.5 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchBusiness & Commercial · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
37.209 %
Higher measured value48.837 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react
Test details
Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.7 Flash: Arena rating from 7,573 published pairwise votes.Muse Wonder: Arena rating from 787 published pairwise votes.
1,586.609
95% confidence interval: ±8.241The 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 value1,637.813
95% confidence interval: ±23.199The 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 ControlCreative writing
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.7 Flash: Arena rating from 5,828 published pairwise votes.Muse Wonder: Arena rating from 427 published pairwise votes.
Higher measured value1,491.972
95% confidence interval: ±8.935The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,485.682
95% confidence interval: ±29.474The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
LMArena
Source details
Data as of: 10/13/2026
Tax Agent BenchCurrent & Temporal Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
30 %
Higher measured value50 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0ML
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
12.121 %
Higher measured value45.455 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceLife Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
10.526 %
Higher measured value21.053 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value59.042 %
56.637 %
Vals AI
Source details
Data as of: 10/13/2026
EMBLBO
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
59.422 %
Higher measured value60.69 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value67.744 %
67.252 %
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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 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 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value89.525 %
86.88 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Text, Style ControlEnglish
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.7 Flash: Snapshot: gemini-3.7-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.7 Flash: Arena rating from 10,549 published pairwise votes.Muse Wonder: Arena rating from 802 published pairwise votes.
1,484.589
95% confidence interval: ±6.695The 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 value1,523.395
95% confidence interval: ±20.831The 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
Tax Agent BenchCurrent & Temporal Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
68.827 %
Higher measured value77.655 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 4.0Operations
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
14.815 %
Higher measured value40.741 %
Vals AI
Source details
Data as of: 10/13/2026
Terminal-Bench ScienceMathematical Sciences
Test details
Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
0 %
Higher measured value23.529 %
Vals AI
Source details
Data as of: 10/14/2026
Vals IndexHLAB
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
8.75 %
Higher measured value17.083 %
Vals AI
Source details
Data as of: 10/13/2026
EMBM&A
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value83.364 %
76.852 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Earnings Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.7 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value79.057 %
76.768 %
Vals AI
Source details
Data as of: 10/12/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

There is no shared test round for this selection. Results from different rounds are not mixed.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 3.7 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
google/gemini-3.7-flash
API model reported in response
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
Failed
Response time
28.8 s

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

Earlier attempts (3)
  • Oct 2, 2026API request failedReasoning setting: high
  • Oct 1, 2026API request failedReasoning setting: high
  • Sep 7, 2026API request failedReasoning setting: high

Muse Wonder

Not tested yet

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 Muse Wonder with other leading models using the same data and benchmark logic.

View the complete LLM comparison