DeepSeek-V3.2 vs GPT-5.5
Wins 0 of 7 areas
—
Wins 6 of 7 areas
Coding · Agents · Reasoning · Math · Long documents · Following instructions
GPT-5.5 is the stronger all-rounder.DeepSeek-V3.2 is cheaper.
Scores updated · 40 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-5.55 of 5 tests
- AgentsCarrying out multi-step tasks on its own05GPT-5.55 of 5 tests
- ReasoningHard problems that need careful thinking04GPT-5.54 of 4 tests
- MathCompetition and research-level math02GPT-5.52 of 2 tests
- Long documentsFinding answers in very long texts01GPT-5.51 of 1 test
- Following instructionsDoing exactly what it is asked01GPT-5.51 of 1 test
- FactsGetting facts right instead of making them up22Even2 each
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 98% 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-5.5 pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+81points ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+43points ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+37.5points ahead
Where DeepSeek-V3.2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+6.3points ahead
Every test, side by side
All 40 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.5
- SWE-bench ProGPT-5.5 by 4315.658.6+43
- Terminal-Bench 2.1GPT-5.5 by 37.546.884.3+37.5
- Terminal-Bench HardGPT-5.5 by 2535.660.6+25
- SciCodeGPT-5.5 by 16.938.955.8+16.9
- LMArena · WebDevGPT-5.5 by 151 rating points13621513+151 rating
AgentsGPT-5.5
- BrowseCompGPT-5.5 by 3351.484.4+33
- GDPValGPT-5.5 by 32.99.842.7+32.9
- AA ApexAgentsGPT-5.5 by 23.214.537.7+23.2
- τ-Bench V3 · BankingGPT-5.5 by 20.218.839+20.2
- MCP AtlasGPT-5.5 by 13.162.275.3+13.1
ReasoningGPT-5.5
- ARC-AGI-2GPT-5.5 by 81485+81
- CritPtGPT-5.5 by 24.22.927.1+24.2
- Humanity's Last ExamGPT-5.5 by 21.224.645.8+21.2
- GPQA DiamondGPT-5.5 by 9.58493.5+9.5
FactsEven
- SimpleQA VerifiedGPT-5.5 by 35.527.563+35.5
- AA-Omniscience · AccuracyGPT-5.5 by 253358+25
- AA-Omniscience · Non-hallucinationDeepSeek-V3.2 by 6.317.311+6.3
- Vectara HHEM hallucination ratelower is betterDeepSeek-V3.2 by 36.39.3+3
MathGPT-5.5
- HMMT Feb. 2026GPT-5.5 by 14.484.198.5+14.4
- AIME 2026GPT-5.5 by 5.894.2100+5.8
Other results18 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 64.517.381.8+64.5
- AA-OmniscienceGPT-5.5 by 43-22.520.5+43
- ARC-AGI-1GPT-5.5 by 385795+38
- Terminal-Bench 2.0GPT-5.5 by 36.346.482.7+36.3
- frontiermath_tier_4_v1GPT-5.5 by 33.32.135.4+33.3
- Artificial Analysis Coding IndexGPT-5.5 by 30.744.274.9+30.7
- Tool-DecathlonGPT-5.5 by 20.435.255.6+20.4
- ToolathlonGPT-5.5 by 20.435.255.6+20.4
- AA Agentic IndexGPT-5.5 by 1918.337.3+19
- AA IntelligenceGPT-5.5 by 16.921.538.4+16.9
- HLE (with tools)GPT-5.5 by 11.440.852.2+11.4
- HealthBenchGPT-5.5 by 9.646.956.5+9.6
- ResearchRubricsGPT-5.5 by 8.255.864+8.2
- vectara_answer_rateGPT-5.5 by 7.492.6100+7.4
- vectara_avg_summary_lengthGPT-5.5 by 67.6 rating points62129.6+67.6 rating
- HMMT Nov. 2025GPT-5.5 by 6.59096.5+6.5
- τ²-Bench Telecom (AA run)GPT-5.5 by 3.390.693.9+3.3
- vectara_factual_consistencyDeepSeek-V3.2 by 393.790.7+3
Questions people ask
Which is better, DeepSeek-V3.2 or GPT-5.5?
GPT-5.5 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 98% less. They are level on facts.
Which is better for coding?
GPT-5.5. 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-5.5 costs $5.00 and $30.00. That makes DeepSeek-V3.2 about 98% cheaper for the same work.
How do you compare the two?
We use the 40 benchmark tests both models have published scores on. The verdict counts the 22 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 18 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.