GPT-5.5 vs Muse Spark
Wins 4 of 7 areas
Coding · Agents · Reasoning · Long documents
Wins 2 of 7 areas
Facts · Images and charts
GPT-5.5 wins more areas, narrowly.Muse Spark is better at facts.
Scores updated · 32 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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.
- ReasoningHard problems that need careful thinking40GPT-5.54 of 4 tests
- CodingWriting and fixing software41GPT-5.54 of 5 tests
- AgentsCarrying out multi-step tasks on its own30GPT-5.53 of 3 tests
- Long documentsFinding answers in very long texts10GPT-5.51 of 1 test
- FactsGetting facts right instead of making them up12Muse Spark2 of 3 tests
- Images and chartsUnderstanding pictures, charts and video01Muse Spark1 of 2 tests · 1 tie
- Following instructionsDoing exactly what it is asked00Even0 each · 1 tie
Long documents and following instructions 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 GPT-5.5 pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+42.5points ahead
- Finds the root cause of IT system incidentsAA IT-Bench SRE+29.6points ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+22.1points ahead
Where Muse Spark pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+4.8points ahead
- Short factual questions, answered correctlySimpleQA Verified+3.3points ahead
Every test, side by side
All 32 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.5
- Terminal-Bench 2.1GPT-5.5 by 22.184.362.2+22.1
- Terminal-Bench HardGPT-5.5 by 15.160.645.5+15.1
- SWE-bench ProGPT-5.5 by 6.258.652.4+6.2
- SciCodeGPT-5.5 by 4.355.851.5+4.3
- LMArena · WebDevMuse Spark by 27 rating points15131540+27 rating
AgentsGPT-5.5
- AA IT-Bench SREGPT-5.5 by 29.645.816.2+29.6
- τ-Bench V3 · BankingGPT-5.5 by 19.43919.6+19.4
- GDPValGPT-5.5 by 17.642.725.1+17.6
ReasoningGPT-5.5
- ARC-AGI-2GPT-5.5 by 42.58542.5+42.5
- CritPtGPT-5.5 by 15.827.111.3+15.8
- GPQA DiamondGPT-5.5 by 5.193.588.4+5.1
- Humanity's Last ExamGPT-5.5 by 5.145.840.7+5.1
FactsMuse Spark
- AA-Omniscience · AccuracyGPT-5.5 by 8.45849.6+8.4
- AA-Omniscience · Non-hallucinationMuse Spark by 4.81115.8+4.8
- SimpleQA VerifiedMuse Spark by 3.36366.3+3.3
Images and chartsMuse Spark
- LMArena · VisionMuse Spark by 13 rating points12921305+13 rating
- MMMU-Protie79.980.5tie
Other results13 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.
- CyberGymGPT-5.5 by 38.381.843.5+38.3
- Terminal-Bench 2.0GPT-5.5 by 23.782.759+23.7
- frontiermath_tier_4_v1GPT-5.5 by 20.835.414.6+20.8
- Artificial Analysis Coding IndexGPT-5.5 by 16.374.958.6+16.3
- AA-OmniscienceGPT-5.5 by 13.320.57.2+13.3
- SimpleVQAMuse Spark by 12.758.671.3+12.7
- AA Agentic IndexGPT-5.5 by 8.637.328.7+8.6
- AA IntelligenceGPT-5.5 by 7.138.431.3+7.1
- HLE CalibrationMuse Spark by 6.144.250.3+6.1
- τ²-Bench Telecom (AA run)GPT-5.5 by 2.493.991.5+2.4
- OR-Bench (FRR)Muse Spark by 1.36.78+1.3
- ERQAtie64.564.7tie
- WMDPtie85.585.6tie
Questions people ask
Which is better, GPT-5.5 or Muse Spark?
GPT-5.5 wins four of the seven areas where both have results: coding, agents, reasoning and long documents. Muse Spark wins facts and images and charts. They are level on following instructions.
Which is better for coding?
GPT-5.5. It wins 4 of the 5 coding tests both models report; Muse Spark wins 1.
How do you compare the two?
We use the 32 benchmark tests both models have published scores on. The verdict counts the 19 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 13 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.