Muse Wonder Full is the stronger all-rounder.
Scores updated · 17 tests both models report · How we compare
Where each one wins
Tests won in each of the five areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- AgentsCarrying out multi-step tasks on its own02Muse Wonder Full2 of 2 tests
- ReasoningHard problems that need careful thinking01Muse Wonder Full1 of 2 tests · 1 tie
- CodingWriting and fixing software01Muse Wonder Full1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
- Long documentsFinding answers in very long texts00Even0 each · 1 tie
Coding and long documents rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Muse Wonder Full pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+69.2points ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+17.2points ahead
- Real work tasks from 44 professionsGDPVal+12.5points ahead
Where GPT-5.6 Sol pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+16.2points ahead
Every test, side by side
All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.
AgentsMuse Wonder Full
- Terminal-Bench 4.0Muse Wonder Full by 17.239.957.1+17.2
- GDPValMuse Wonder Full by 12.555.467.9+12.5
ReasoningMuse Wonder Full
- Humanity's Last ExamMuse Wonder Full by 4.149.553.6+4.1
- CritPttie32.332.9tie
FactsEven
- AA-Omniscience · Non-hallucinationMuse Wonder Full by 69.27.877+69.2
- AA-Omniscience · AccuracyGPT-5.6 Sol by 16.259.443.2+16.2
Other results9 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- Program BenchMuse Wonder Full by 342559+34
- JobBenchMuse Wonder Full by 29.945.475.3+29.9
- SWE-MarathonMuse Wonder Full by 1542.557.5+15
- AA IntelligenceMuse Wonder Full by 8.84755.8+8.8
- AA-OmniscienceMuse Wonder Full by 8.22230.1+8.2
- DeepSWE 1.1Muse Wonder Full by 67379+6
- Artificial AnalysisGPT-5.6 Sol by 35956+3
- GDP (Surge AI)Muse Wonder Full by 2.530.733.2+2.5
- HealthBench ProfessionalMuse Wonder Full by 1.860.562.3+1.8
Questions people ask
Which is better, GPT-5.6 Sol or Muse Wonder Full?
Muse Wonder Full wins three of the five areas where both have results: coding, agents and reasoning. GPT-5.6 Sol wins none. They are level on facts and long documents.
Which is better for coding?
Muse Wonder Full. It wins the one coding test both models report.
How do you compare the two?
We use the 17 benchmark tests both models have published scores on. The verdict counts the 8 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.