Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
shared result series
159
distinct benchmarks
16
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.
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.
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-5.6 Terra and Muse Wonder
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.
GPT-5.6 TerraMuse Wonder
Code MigrationOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra47.804 %
Muse WonderHigher measured value62.552 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra72.084 %
Muse WonderHigher measured value80.357 %
EMBOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra66.205 %
Muse WonderHigher measured value67.084 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra54.436 %
Muse WonderHigher measured value56.637 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
GPT-5.6 Terra0.833 %
Muse WonderHigher measured value17.083 %
IOIOverall. Higher is better. Test setup not documented as identical
GPT-5.6 TerraHigher measured value87.611 %
Muse Wonder66.944 %
Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical
GPT-5.6 Terra41.346 %
Muse WonderHigher measured value50.481 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra1,465.897
Muse WonderHigher measured value1,512.671
ProofBenchOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra74 %
Muse WonderHigher measured value84 %
Public Benefits Bench v1.1Overall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra62.382 %
Muse WonderHigher measured value70.23 %
Tax Agent BenchOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra30.035 %
Muse WonderHigher measured value36.269 %
Terminal-Bench 4.0Overall. Higher is better. Test setup not documented as identical
GPT-5.6 Terra22.727 %
Muse WonderHigher measured value49.495 %
Key to the marks:better valuebetter, but not conclusivetie
Benchmark scores for GPT-5.6 Terra and Muse Wonder
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Terra: Snapshot: gpt-5.6-terra-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style controlGPT-5.6 Terra: Arena rating from 42,358 published pairwise votes.Muse Wonder: Arena rating from 1,944 published pairwise votes.
1,465.897
95% confidence interval: ±4.269The 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 Text, Style ControlBusiness, management and financeTest details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Terra: Snapshot: gpt-5.6-terra-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style controlGPT-5.6 Terra: Arena rating from 7,896 published pairwise votes.Muse Wonder: Arena rating from 338 published pairwise votes.
1,466.115
95% confidence interval: ±7.508The 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.
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Terra: Snapshot: gpt-5.6-terra-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style controlGPT-5.6 Terra: Arena rating from 11,280 published pairwise votes.Muse Wonder: Arena rating from 487 published pairwise votes.
1,516.911
95% confidence interval: ±6.59The 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 value1,557.956
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.
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Terra: Snapshot: gpt-5.6-terra-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style controlGPT-5.6 Terra: Arena rating from 9,009 published pairwise votes.Muse Wonder: Arena rating from 427 published pairwise votes.
1,429.2
95% confidence interval: ±7.438The 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 value1,485.682
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.
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Terra: Snapshot: gpt-5.6-terra-xhigh, Reasoning: xhigh, Harness: Arena Text, style control Muse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style controlGPT-5.6 Terra: Arena rating from 17,197 published pairwise votes.Muse Wonder: Arena rating from 802 published pairwise votes.
1,471.979
95% confidence interval: ±5.623The 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.
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
Related LLM comparisons
Compare GPT-5.6 Terra and Muse Wonder with other leading models using the same data and benchmark logic.
