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Head-to-head comparison

Gemini 3.8 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
179
distinct benchmarks
20
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 3.8 Flash and Muse Wonder
AttributeGemini 3.8 FlashMuse Wonder
ProviderGoogleMeta
ReleasedSep 2, 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 3.8 Flash and Muse Wonder
Price typeGemini 3.8 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 3.8 FlashMuse Wonder
API inputUSD per 1M tokens, base tier
Gemini 3.8 FlashLower price$0.75
Muse Wonder$4
API outputUSD per 1M tokens, base tier
Gemini 3.8 FlashLower price$3.75
Muse Wonder$20
Cache readUSD per 1M tokens, base tier
Gemini 3.8 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 3.8 Flash and Muse Wonder
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Gemini 3.8 FlashGoogleDirect from developerStandard API$0.75$3.75Source09/22/2026
GoogleVia OpenRoutergoogle-vertex/global$0.75$3.75Source10/16/2026
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 3.8 FlashMuse Wonder
BioMysteryBenchOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash62.222 %
Muse WonderHigher measured value67.037 %
Code MigrationOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash36.546 %
Muse WonderHigher measured value62.552 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash43.75 %
Muse WonderHigher measured value80.357 %
EMBOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 FlashHigher measured value72.196 %
Muse Wonder67.084 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
Gemini 3.8 FlashHigher measured value61.435 %
Muse Wonder56.637 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash10 %
Muse WonderHigher measured value17.083 %
IOIOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash56.944 %
Muse WonderHigher measured value66.944 %
Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash38.942 %
Muse WonderHigher measured value50.481 %
LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash1,584.77
Muse WonderHigher measured value1,650.947
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash1,496.319
Muse WonderHigher measured value1,512.671
MysteryMechanismOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 FlashHigher measured value36.486 %
Muse Wonder27.477 %
ProofBenchOverall. Higher is better. Test setup not documented as identical
Gemini 3.8 Flash48 %
Muse WonderHigher measured value84 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.8 Flash and Muse Wonder
Benchmark and taskGemini 3.8 FlashMuse WonderSource
BioMysteryBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Terminus 2, Temperature: 1, Output limit: 131,072 tokens
62.222 %
Higher measured value67.037 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
36.546 %
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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value72.196 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value61.435 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
10 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
56.944 %
Higher measured value66.944 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
38.942 %
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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,584.77
95% confidence interval: ±7.59The 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Muse Wonder: Arena rating from 1,944 published pairwise votes.
1,496.319
95% confidence interval: ±4.654The 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
MysteryMechanismOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value36.486 %
27.477 %
Vals AI
Source details
Data as of: 10/12/2026
ProofBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
48 %
Higher measured value84 %
Vals AI
Source details
Data as of: 10/12/2026
Public Benefits Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
65.291 %
Higher measured value70.23 %
Vals AI
Source details
Data as of: 10/12/2026
SWE-bench MultimodalOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
40.833 %
Higher measured value45.417 %
Vals AI
Source details
Data as of: 10/13/2026
Tax Agent BenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
32.124 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
19.697 %
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 3.8 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
8.571 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
54.887 %
Higher measured value61.062 %
Vals AI
Source details
Data as of: 10/13/2026
Vibe Code Bench 1-100Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterGemini 3.8 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
18.772 %
Higher measured value26.55 %
Vals AI
Source details
Data as of: 10/14/2026
Vibe Code Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGemini 3.8 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
78.651 %
Higher measured value83.089 %
Vals AI
Source details
Data as of: 10/12/2026
BioMysteryBenchHard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Terminus 2, Temperature: 1, Output limit: 131,072 tokens
21.569 %
Higher measured value29.412 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
25.871 %
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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
76.435 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value54.828 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
87.681 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
55.667 %
Higher measured value66.833 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
46.97 %
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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,584.77
95% confidence interval: ±7.59The 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.8 Flash: Arena rating from 6,520 published pairwise votes.Muse Wonder: Arena rating from 338 published pairwise votes.
1,479.887
95% confidence interval: ±8.136The 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
SWE-bench Multimodalbpmn-js
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
64.151 %
Higher measured value67.925 %
Vals AI
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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
26.667 %
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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
31.558 %
Higher measured value62.009 %
Vals AI
Source details
Data as of: 10/13/2026
BioMysteryBenchHuman-solvable
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Harness: Terminus 2, Temperature: 1, Output limit: 131,072 tokens
71.689 %
Higher measured value75.799 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value86.218 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value49.694 %
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 3.8 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
61.333 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
87.613 %
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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.8 Flash: Arena rating from 1,451 published pairwise votes.Muse Wonder: Arena rating from 158 published pairwise votes.
1,620.104
95% confidence interval: ±17.559The 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.8 Flash: Arena rating from 9,370 published pairwise votes.Muse Wonder: Arena rating from 487 published pairwise votes.
1,527.417
95% confidence interval: ±7.214The 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
SWE-bench MultimodalCarbon
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
19.549 %
Higher measured value27.068 %
Vals AI
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
59.001 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
16.667 %
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 3.8 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
Higher measured value11.111 %
0 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value72.196 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
3.742 / 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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value63.655 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value52.004 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
89.606 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
53.833 %
Higher measured value58.5 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
41.86 %
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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
Gemini 3.8 Flash: Arena rating from 6,460 published pairwise votes.Muse Wonder: Arena rating from 787 published pairwise votes.
1,576.599
95% confidence interval: ±8.938The 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 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
Gemini 3.8 Flash: Arena rating from 7,858 published pairwise votes.Muse Wonder: Arena rating from 427 published pairwise votes.
Higher measured value1,486.541
95% confidence interval: ±8.055The 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
SWE-bench MultimodalESLint
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
No direct winner54.545 %
No direct winner54.545 %
Vals AI
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
43.333 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
18.182 %
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 3.8 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
5.263 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value61.435 %
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 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
58.56 %
Higher measured value60.69 %
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 3.8 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-3.8-flash
API model reported in response
google/gemini-3.8-flash
Reasoning setting
high
Pinned endpoint
Google AI Studio | google/gemini-3.8-flash-20260902
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Failed
Response time
40.2 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 3.8 Flash and Muse Wonder with other leading models using the same data and benchmark logic.

View the complete LLM comparison