DeepSeek-V3.2-Exp vs GPT-5.2
Wins 0 of 6 areas
—
Wins 5 of 6 areas
Coding · Agents · Reasoning · Long documents · Following instructions
GPT-5.2 is the stronger all-rounder.DeepSeek-V3.2-Exp is cheaper.
Scores updated · 29 tests both models report · How we compare
Where each one wins
Tests won in each of the six 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-5.25 of 5 tests
- ReasoningHard problems that need careful thinking03GPT-5.23 of 3 tests
- AgentsCarrying out multi-step tasks on its own02GPT-5.22 of 2 tests
- Long documentsFinding answers in very long texts01GPT-5.21 of 1 test
- Following instructionsDoing exactly what it is asked01GPT-5.21 of 1 test
- FactsGetting facts right instead of making them up11Even1 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.
DeepSeek-V3.2-Exp costs 96% 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-5.2 pulls ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+25.7points ahead
- Real work tasks from 44 professionsGDPVal+23.3points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+22.8points ahead
Where DeepSeek-V3.2-Exp pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 29 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.2
- Terminal-Bench HardGPT-5.2 by 15.931.147+15.9
- LMArena · WebDevGPT-5.2 by 144 rating points12721416+144 rating
- SciCodeGPT-5.2 by 14.437.752.1+14.4
- SWE-bench VerifiedGPT-5.2 by 12.267.880+12.2
- SWE-bench MultilingualGPT-5.2 by 8.857.966.7+8.8
AgentsGPT-5.2
- BrowseCompGPT-5.2 by 25.740.165.8+25.7
- GDPValGPT-5.2 by 23.32548.3+23.3
ReasoningGPT-5.2
- Humanity's Last ExamGPT-5.2 by 22.814.937.7+22.8
- GPQA DiamondGPT-5.2 by 10.679.790.3+10.6
- CritPtGPT-5.2 by 10.21.411.6+10.2
FactsEven
- AA-Omniscience · AccuracyGPT-5.2 by 16.727.644.3+16.7
- Vectara HHEM hallucination ratelower is betterDeepSeek-V3.2-Exp by 5.55.310.8+5.5
- AA-Omniscience · Non-hallucinationtie19.218.8tie
Other results14 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.
- τ²-Bench Telecom (AA run)GPT-5.2 by 50.933.984.8+50.9
- AA Agentic IndexGPT-5.2 by 31.528.760.2+31.5
- AA-OmniscienceGPT-5.2 by 30.1-31-0.9+30.1
- HMMT 2025GPT-5.2 by 15.883.699.4+15.8
- Artificial Analysis Coding IndexGPT-5.2 by 15.433.348.7+15.4
- LiveCodeBenchGPT-5.2 by 14.974.189+14.9
- AA IntelligenceGPT-5.2 by 13.816.630.4+13.8
- vectara_avg_summary_lengthGPT-5.2 by 121.7 rating points64.6186.3+121.7 rating
- HMMT Nov. 2025GPT-5.2 by 11.684.295.8+11.6
- AIME 2025GPT-5.2 by 10.789.3100+10.7
- HMMT Feb. 2025GPT-5.2 by 1090100+10
- vectara_factual_consistencyDeepSeek-V3.2-Exp by 5.594.789.2+5.5
- vectara_answer_rateGPT-5.2 by 3.496.6100+3.4
- MMLU-ProGPT-5.2 by 1.78586.7+1.7
Questions people ask
Which is better, DeepSeek-V3.2-Exp or GPT-5.2?
GPT-5.2 wins five of the six areas where both have results: coding, agents, reasoning, long documents and following instructions. DeepSeek-V3.2-Exp wins none, but costs 96% less. They are level on facts.
Which is better for coding?
GPT-5.2. It wins 5 of the 5 coding tests both models report; DeepSeek-V3.2-Exp wins none.
Which is cheaper?
DeepSeek-V3.2-Exp costs $0.28 per million input tokens and $0.42 per million output tokens; GPT-5.2 costs $1.75 and $14.00. That makes DeepSeek-V3.2-Exp about 96% cheaper for the same work.
How do you compare the two?
We use the 29 benchmark tests both models have published scores on. The verdict counts the 15 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 14 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.