GPT-5.1 vs GPT-6.1 Sol
Wins 0 of 7 areas
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Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions
GPT-6.1 Sol is the stronger all-rounder.GPT-5.1 is cheaper.
Scores updated · 21 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 thinking04GPT-6.1 Sol4 of 4 tests
- CodingWriting and fixing software02GPT-6.1 Sol2 of 2 tests
- Images and chartsUnderstanding pictures, charts and video02GPT-6.1 Sol2 of 2 tests
- FactsGetting facts right instead of making them up12GPT-6.1 Sol2 of 3 tests
- AgentsCarrying out multi-step tasks on its own01GPT-6.1 Sol1 of 1 test
- Long documentsFinding answers in very long texts01GPT-6.1 Sol1 of 1 test
- Following instructionsDoing exactly what it is asked01GPT-6.1 Sol1 of 1 test
Agents, 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.
GPT-5.1 costs 6% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where GPT-6.1 Sol pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+76.6points ahead
- Real work tasks from 44 professionsGDPVal+38.4points ahead
- Common-sense trick questionsSimpleBench+29.7points ahead
Where GPT-5.1 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+2.4points ahead
Every test, side by side
All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-6.1 Sol
- LMArena · WebDevGPT-6.1 Sol by 347 rating points13961743+347 rating
- SciCodeGPT-6.1 Sol by 10.943.354.2+10.9
ReasoningGPT-6.1 Sol
- ARC-AGI-2GPT-6.1 Sol by 76.617.694.2+76.6
- SimpleBenchGPT-6.1 Sol by 29.753.282.9+29.7
- CritPtGPT-6.1 Sol by 26.84.931.7+26.8
- Humanity's Last ExamGPT-6.1 Sol by 24.428.552.9+24.4
FactsGPT-6.1 Sol
- SimpleQA VerifiedGPT-6.1 Sol by 25.94873.9+25.9
- AA-Omniscience · AccuracyGPT-6.1 Sol by 24.437.762.1+24.4
- AA-Omniscience · Non-hallucinationGPT-5.1 by 2.448.145.7+2.4
Images and chartsGPT-6.1 Sol
- MMMU-ProGPT-6.1 Sol by 10.575.586+10.5
- LMArena · VisionGPT-6.1 Sol by 37 rating points12491286+37 rating
Following instructionsGPT-6.1 Sol
- Multi-ChallengeGPT-6.1 Sol by 18.663.482+18.6
Other results7 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.
- AA-OmniscienceGPT-6.1 Sol by 36.15.441.5+36.1
- AA IntelligenceGPT-6.1 Sol by 27.124.751.8+27.1
- HealthBench Professional length-adjustedGPT-6.1 Sol by 24.639.664.2+24.6
- ARC-AGI-1GPT-6.1 Sol by 23.772.896.5+23.7
- HealthBench Hard length-adjustedGPT-6.1 Sol by 10.825.436.2+10.8
- HealthBench length-adjustedGPT-6.1 Sol by 7.650.958.5+7.6
- HealthBench Consensus length-adjustedGPT-6.1 Sol by 19596+1
Questions people ask
Which is better, GPT-5.1 or GPT-6.1 Sol?
GPT-6.1 Sol wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. GPT-5.1 wins none, but costs 6% less.
Which is better for coding?
GPT-6.1 Sol. It wins 2 of the 2 coding tests both models report; GPT-5.1 wins none.
Which is cheaper?
GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. That makes GPT-5.1 about 6% cheaper for the same work.
How do you compare the two?
We use the 21 benchmark tests both models have published scores on. The verdict counts the 14 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.