DeepSeek-V3.2 vs GPT-5.6 Sol
Wins 0 of 7 areas
—
Wins 6 of 7 areas
Coding · Agents · Reasoning · Math · Long documents · Following instructions
GPT-5.6 Sol is the stronger all-rounder.DeepSeek-V3.2 is cheaper.
Scores updated · 36 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.
- CodingWriting and fixing software05GPT-5.6 Sol5 of 5 tests
- AgentsCarrying out multi-step tasks on its own05GPT-5.6 Sol5 of 5 tests
- ReasoningHard problems that need careful thinking04GPT-5.6 Sol4 of 4 tests
- MathCompetition and research-level math01GPT-5.6 Sol1 of 1 test
- Long documentsFinding answers in very long texts01GPT-5.6 Sol1 of 1 test
- Following instructionsDoing exactly what it is asked01GPT-5.6 Sol1 of 1 test
- FactsGetting facts right instead of making them up22Even2 each
Math, 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.
DeepSeek-V3.2 costs 97% 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-5.6 Sol pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+88.5points ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+49points ahead
- Real work tasks from 44 professionsGDPVal+45.8points ahead
Where DeepSeek-V3.2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+9.5points ahead
Every test, side by side
All 36 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.6 Sol
- SWE-bench ProGPT-5.6 Sol by 4915.664.6+49
- Terminal-Bench 2.1GPT-5.6 Sol by 41.246.888+41.2
- Terminal-Bench HardGPT-5.6 Sol by 30.335.665.9+30.3
- LMArena · WebDevGPT-5.6 Sol by 256 rating points13621618+256 rating
- SciCodeGPT-5.6 Sol by 18.238.957.1+18.2
AgentsGPT-5.6 Sol
- GDPValGPT-5.6 Sol by 45.89.855.6+45.8
- BrowseCompGPT-5.6 Sol by 3951.490.4+39
- τ-Bench V3 · BankingGPT-5.6 Sol by 25.518.844.3+25.5
- AA ApexAgentsGPT-5.6 Sol by 25.414.539.9+25.4
- MCP AtlasGPT-5.6 Sol by 21.462.283.6+21.4
ReasoningGPT-5.6 Sol
- ARC-AGI-2GPT-5.6 Sol by 88.5492.5+88.5
- CritPtGPT-5.6 Sol by 29.42.932.3+29.4
- Humanity's Last ExamGPT-5.6 Sol by 24.924.649.5+24.9
- GPQA DiamondGPT-5.6 Sol by 10.18494.1+10.1
FactsEven
- SimpleQA VerifiedGPT-5.6 Sol by 42.227.569.7+42.2
- AA-Omniscience · AccuracyGPT-5.6 Sol by 26.43359.4+26.4
- AA-Omniscience · Non-hallucinationDeepSeek-V3.2 by 9.517.37.8+9.5
- Vectara HHEM hallucination ratelower is betterDeepSeek-V3.2 by 6.16.312.4+6.1
Following instructionsGPT-5.6 Sol
- IFBenchGPT-5.6 Sol by 1260.772.7+12
Other results15 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-5.6 Sol by 67.217.384.5+67.2
- AA-OmniscienceGPT-5.6 Sol by 44.5-22.522+44.5
- PaperBenchGPT-5.6 Sol by 43.447.190.5+43.4
- ARC-AGI-1GPT-5.6 Sol by 39.55796.5+39.5
- Artificial Analysis Coding IndexGPT-5.6 Sol by 33.244.277.4+33.2
- AA Agentic IndexGPT-5.6 Sol by 32.218.350.5+32.2
- AA IntelligenceGPT-5.6 Sol by 25.521.547+25.5
- HLE (with tools)GPT-5.6 Sol by 23.740.864.5+23.7
- ToolathlonGPT-5.6 Sol by 22.835.258+22.8
- ResearchRubricsGPT-5.6 Sol by 1855.873.8+18
- HealthBenchGPT-5.6 Sol by 10.146.957+10.1
- vectara_avg_summary_lengthGPT-5.6 Sol by 69.1 rating points62131.1+69.1 rating
- vectara_answer_rateGPT-5.6 Sol by 6.592.699.1+6.5
- vectara_factual_consistencyDeepSeek-V3.2 by 6.193.787.6+6.1
- τ²-Bench Telecom (AA run)DeepSeek-V3.2 by 5.590.685.1+5.5
Questions people ask
Which is better, DeepSeek-V3.2 or GPT-5.6 Sol?
GPT-5.6 Sol wins six of the seven areas where both have results: coding, agents, reasoning, math, long documents and following instructions. DeepSeek-V3.2 wins none, but costs 97% less. They are level on facts.
Which is better for coding?
GPT-5.6 Sol. It wins 5 of the 5 coding tests both models report; DeepSeek-V3.2 wins none.
Which is cheaper?
DeepSeek-V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. That makes DeepSeek-V3.2 about 97% cheaper for the same work.
How do you compare the two?
We use the 36 benchmark tests both models have published scores on. The verdict counts the 21 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 15 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.