GPT-5.6 Sol vs Muse Wonder
Wins 2 of 5 areas
Reasoning · Long documents
Wins 2 of 5 areas
Coding · Agents
The two are evenly matched.GPT-5.6 Sol is better at reasoning and long documents; Muse Wonder at coding and agents.
Scores updated · 18 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.
- CodingWriting and fixing software02Muse Wonder2 of 2 tests
- AgentsCarrying out multi-step tasks on its own02Muse Wonder2 of 2 tests
- ReasoningHard problems that need careful thinking10GPT-5.6 Sol1 of 2 tests · 1 tie
- Long documentsFinding answers in very long texts10GPT-5.6 Sol1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
Long documents rests on a single test.
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 three tests each model wins by the widest margin. Scores are out of 100.
Where Muse Wonder pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+65.7points ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+12.1points ahead
- Real work tasks from 44 professionsGDPVal+8.1points ahead
Where GPT-5.6 Sol pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+18.3points ahead
- Research-level physics problemsCritPt+4points ahead
- Reasons across sets of long documentsAA-LCR+3.3points ahead
Every test, side by side
All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingMuse Wonder
- LMArena · WebDevMuse Wonder by 34 rating points16171651+34 rating
- SciCodeMuse Wonder by 3.257.160.3+3.2
AgentsMuse Wonder
- Terminal-Bench 4.0Muse Wonder by 12.139.952+12.1
- GDPValMuse Wonder by 8.155.463.5+8.1
ReasoningGPT-5.6 Sol
- CritPtGPT-5.6 Sol by 432.328.3+4
- Humanity's Last Examtie49.550.1tie
FactsEven
- AA-Omniscience · Non-hallucinationMuse Wonder by 65.77.873.5+65.7
- AA-Omniscience · AccuracyGPT-5.6 Sol by 18.359.441.1+18.3
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.
- JobBenchMuse Wonder by 25.145.470.5+25.1
- Program BenchMuse Wonder by 252550+25
- SWE-MarathonMuse Wonder by 10.642.553.1+10.6
- Artificial AnalysisGPT-5.6 Sol by 75952+7
- DeepSWE 1.1Muse Wonder by 5.87378.8+5.8
- AA IntelligenceMuse Wonder by 5.44752.4+5.4
- AA-OmniscienceMuse Wonder by 3.52225.5+3.5
- GDP (Surge AI)tie30.730.8tie
- HealthBench Professionaltie60.560.5tie
Questions people ask
Which is better, GPT-5.6 Sol or Muse Wonder?
GPT-5.6 Sol and Muse Wonder each win two of the five areas where both have results. GPT-5.6 Sol wins reasoning and long documents; Muse Wonder wins coding and agents. They are level on facts.
Which is better for coding?
Muse Wonder. It wins 2 of the 2 coding tests both models report; GPT-5.6 Sol wins none.
Which is cheaper?
GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. For a million tokens read plus a million written, they cost about the same.
How do you compare the two?
We use the 18 benchmark tests both models have published scores on. The verdict counts the 9 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.