Skip to main content

Head-to-head comparison

GPT-6 Luna 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
178
distinct benchmarks
19
latest retrieval
2026-10-15

Change model selection

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for GPT-6 Luna and Muse Wonder
AttributeGPT-6 LunaMuse Wonder
ProviderOpenAIMeta
ReleasedSep 22, 2026Oct 12, 2026
AvailabilityActivePreview
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,050,000 tokens1,048,576 tokens
Knowledge cutoffMay 18, 2026Not published
Technical sourcesModel, ContextModel, 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 GPT-6 Luna and Muse Wonder
Price typeGPT-6 LunaMuse Wonder
API input$0.1 ≤272K / $0.2 >272K$4
API output$0.5 ≤272K / $0.75 >272K$20
Cache read$0.01 ≤272K / $0.02 >272K$0.2
Cache write (5 min.)$0.125 ≤272K / $0.25 >272KNot listed
Cache write (1 hr.)Not listedNot listed
Price verified09/22/2026 Source10/15/2026 Source
GPT-6 LunaMuse Wonder
API inputUSD per 1M tokens, base tier
GPT-6 LunaLower price$0.1
Muse Wonder$4
API outputUSD per 1M tokens, base tier
GPT-6 LunaLower price$0.5
Muse Wonder$20
Cache readUSD per 1M tokens, base tier
GPT-6 LunaLower price$0.01
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 GPT-6 Luna and Muse Wonder
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
GPT-6 LunaOpenAIDirect from developerUp to 272,000 context tokens$0.1Lowest listed price: $0.5Source09/22/2026
OpenAIDirect from developerAbove 272,000 context tokens$0.2$0.75Source09/22/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$0.11$0.55Source10/16/2026
AzureVia OpenRouterazureLowest listed price: $0.1Lowest listed price: $0.5Source10/16/2026
AzureVia OpenRouterazure/eu$0.11$0.55Source10/16/2026
AzureVia OpenRouterazure/us$0.11$0.55Source10/16/2026
OpenAIVia OpenRouteropenaiLowest listed price: $0.1Lowest listed price: $0.5Source10/16/2026
OpenAIVia OpenRouteropenai/fast$0.2$1Source10/16/2026
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.

255075100CodingReasoningKnowledgeFinanceGeneral
GPT-6 Luna
Muse Wonder
Coding: 95.9 / 100 (2 benchmark families)
Reasoning: 96.7 / 100 (1 benchmark family)
Knowledge: 96.6 / 100 (1 benchmark family)
Finance: 96.1 / 100 (1 benchmark family)
General: 95.1 / 100 (1 benchmark family)

22 matched rows from 2 benchmark families were considered. The radar shows 5 of 5 comparable categories.

GPT-6 LunaMuse Wonder
BioMysteryBenchOverall. Higher is better. Test setup not documented as identical
GPT-6 Luna61.481 %
Muse WonderHigher measured value67.037 %
Code MigrationOverall. Higher is better. Test setup not documented as identical
GPT-6 Luna42.554 %
Muse WonderHigher measured value62.552 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
GPT-6 Luna76.25 %
Muse WonderHigher measured value80.357 %
EMBOverall. Higher is better. Test setup not documented as identical
GPT-6 LunaHigher measured value68.515 %
Muse Wonder67.084 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
GPT-6 Luna49.873 %
Muse WonderHigher measured value56.637 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
GPT-6 Luna2.917 %
Muse WonderHigher measured value17.083 %
IOIOverall. Higher is better. Test setup not documented as identical
GPT-6 Luna55.556 %
Muse WonderHigher measured value66.944 %
Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical
GPT-6 Luna30.288 %
Muse WonderHigher measured value50.481 %
LMArena Code Arena WebDevOverall. Higher is better. No documented setup difference
GPT-6 Luna1,581.731
Muse WonderWinner1,650.947
LMArena Text, Style ControlOverall. Higher is better. No documented setup difference
GPT-6 Luna1,442.954
Muse WonderWinner1,512.671
MysteryMechanismOverall. Higher is better. Test setup not documented as identical
GPT-6 Luna19.369 %
Muse WonderHigher measured value27.477 %
ProofBenchOverall. Higher is better. Test setup not documented as identical
GPT-6 Luna64 %
Muse WonderHigher measured value84 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for GPT-6 Luna and Muse Wonder
Benchmark and taskGPT-6 LunaMuse WonderSource
BioMysteryBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Terminus 2, Temperature: 1, Output limit: 131,072 tokens
61.481 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
42.554 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
76.25 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value68.515 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
49.873 %
Higher measured value56.637 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
2.917 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
55.556 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
30.288 %
Higher measured value50.481 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevOverall
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
GPT-6 Luna: Arena rating from 17,869 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,581.731
95% confidence interval: ±6.249The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,650.947
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
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
GPT-6 Luna: Arena rating from 43,294 published pairwise votes.Muse Wonder: Arena rating from 1,944 published pairwise votes.
1,442.954
95% confidence interval: ±4.676The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,512.671
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
19.369 %
Higher measured value27.477 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
64 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
57.645 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
37.5 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
19.947 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
13.636 %
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 betterGPT-6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens
4.286 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
51.216 %
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 betterGPT-6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens
81.649 %
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 betterGPT-6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Harness: Terminus 2, Temperature: 1, Output limit: 131,072 tokens
17.647 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
37.215 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
70.474 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
49.75 %
Higher measured value52.67 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
81.884 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value69.333 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
37.879 %
Higher measured value63.636 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
GPT-6 Luna: Arena rating from 17,869 published pairwise votes.Muse Wonder: Arena rating from 1,228 published pairwise votes.
1,581.731
95% confidence interval: ±6.249The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,650.947
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
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
GPT-6 Luna: Arena rating from 7,459 published pairwise votes.Muse Wonder: Arena rating from 338 published pairwise votes.
1,441.508
95% confidence interval: ±7.801The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,500.247
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
56.604 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
0 %
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 betterGPT-6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
44.377 %
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 betterGPT-6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
58.571 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
65 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
75.536 %
Higher measured value79.232 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
38.433 %
Higher measured value45.936 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
39 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
83.175 %
Higher measured value90.571 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
GPT-6 Luna: Arena rating from 2,693 published pairwise votes.Muse Wonder: Arena rating from 158 published pairwise votes.
1,594.39
95% confidence interval: ±13.306The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,721.908
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
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
GPT-6 Luna: Arena rating from 9,840 published pairwise votes.Muse Wonder: Arena rating from 487 published pairwise votes.
1,506.827
95% confidence interval: ±6.964The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,557.956
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
54.423 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value68.515 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
3.752 / 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
Higher measured value62.771 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
39.772 %
Higher measured value47.933 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
82.796 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
58.333 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
23.256 %
Higher measured value48.837 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react
Test details
No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Code Arena WebDev
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev
GPT-6 Luna: Arena rating from 11,131 published pairwise votes.Muse Wonder: Arena rating from 787 published pairwise votes.
1,576.876
95% confidence interval: ±7.251The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,637.813
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
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Luna: Snapshot: gpt-6-luna-max, Reasoning: max, Harness: Arena Text, style control
Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control
GPT-6 Luna: Arena rating from 9,799 published pairwise votes.Muse Wonder: Arena rating from 427 published pairwise votes.
1,409.637
95% confidence interval: ±7.394The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
Winner1,485.682
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
36.364 %
Higher measured value54.545 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
16.533 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
9.091 %
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 betterGPT-6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
49.873 %
Higher measured value56.637 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
59.1 %
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 betterGPT-6 Luna: Reasoning: max, Output limit: 128,000 tokens
Muse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens
57.606 %
Higher measured value67.252 %
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.

GPT-6 Luna

GPT-6 Luna: Pelican on a bicycle
A community classic for free-form SVG drawing.

Reasoning (requested): high

Current attempt
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
openai/gpt-6-luna
API model reported in response
openai/gpt-6-luna
Reasoning setting
high
Pinned endpoint
OpenAI | openai/gpt-6-luna-20260922
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
46.7 s

Visually reviewed. This individual test does not establish overall model quality.

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 GPT-6 Luna and Muse Wonder with other leading models using the same data and benchmark logic.

View the complete LLM comparison