DeepSeek-V4.1-Flash vs GPT-5.2
Wins 8 of 8 areas
Coding · Agents · Reasoning · Facts · Images and charts · Math · Long documents · Following instructions
Wins 0 of 8 areas
—
DeepSeek-V4.1-Flash is the stronger all-rounder.
Scores updated · 32 tests both models report · How we compare
Where each one wins
Tests won in each of the eight areas we test. 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 thinking50DeepSeek-V4.1-Flash5 of 6 tests · 1 tie
- CodingWriting and fixing software30DeepSeek-V4.1-Flash3 of 4 tests · 1 tie
- MathCompetition and research-level math20DeepSeek-V4.1-Flash2 of 3 tests · 1 tie
- FactsGetting facts right instead of making them up21DeepSeek-V4.1-Flash2 of 3 tests
- Images and chartsUnderstanding pictures, charts and video21DeepSeek-V4.1-Flash2 of 3 tests
- AgentsCarrying out multi-step tasks on its own10DeepSeek-V4.1-Flash1 of 1 test
- Long documentsFinding answers in very long texts10DeepSeek-V4.1-Flash1 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-V4.1-Flash1 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.
DeepSeek-V4.1-Flash costs 90% 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 DeepSeek-V4.1-Flash pulls ahead
- Fixes real GitHub issues, working as an agentLiveBench · Agentic Coding+27points ahead
- Abstract visual puzzles that people can solveARC-AGI-2+25.2points ahead
- Common-sense trick questionsSimpleBench+20.9points ahead
Where GPT-5.2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+15.3points ahead
- Reasoning about charts from research papersCharXiv (RQ)+13.1points 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.
CodingDeepSeek-V4.1-Flash
- LiveBench · Agentic CodingDeepSeek-V4.1-Flash by 2777.350.3+27
- LMArena · WebDevDeepSeek-V4.1-Flash by 203 rating points16191416+203 rating
- LiveBench · CodingDeepSeek-V4.1-Flash by 3.98076.1+3.9
- SciCodetie51.952.1tie
ReasoningDeepSeek-V4.1-Flash
- ARC-AGI-2DeepSeek-V4.1-Flash by 25.278.152.9+25.2
- SimpleBenchDeepSeek-V4.1-Flash by 20.966.745.8+20.9
- LiveBench · ReasoningDeepSeek-V4.1-Flash by 3.586.783.2+3.5
- CritPtDeepSeek-V4.1-Flash by 2.714.311.6+2.7
- Humanity's Last ExamDeepSeek-V4.1-Flash by 1.539.237.7+1.5
- GPQA Diamondtie90.990.3tie
FactsDeepSeek-V4.1-Flash
- AA-Omniscience · Non-hallucinationGPT-5.2 by 15.33.518.8+15.3
- SimpleQA VerifiedDeepSeek-V4.1-Flash by 5.842.937.1+5.8
- AA-Omniscience · AccuracyDeepSeek-V4.1-Flash by 2.146.444.3+2.1
Images and chartsDeepSeek-V4.1-Flash
- CharXiv (RQ)GPT-5.2 by 13.16982.1+13.1
- LMArena · VisionDeepSeek-V4.1-Flash by 32 rating points12781246+32 rating
- MMMU-ProDeepSeek-V4.1-Flash by 2.47774.6+2.4
MathDeepSeek-V4.1-Flash
- FrontierMath Tier 4DeepSeek-V4.1-Flash by 14.646.331.7+14.6
- FrontierMath Tiers 1-3 (v2)DeepSeek-V4.1-Flash by 3.871.267.4+3.8
- LiveBench · Mathematicstie93.393.2tie
Long documentsDeepSeek-V4.1-Flash
- AA-LCRDeepSeek-V4.1-Flash by 1.38482.7+1.3
Following instructionsDeepSeek-V4.1-Flash
- LiveBench · Instruction FollowingDeepSeek-V4.1-Flash by 8.27061.8+8.2
Other results10 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.
- ZeroBenchDeepSeek-V4.1-Flash by 40499+40
- HLE (with tools)DeepSeek-V4.1-Flash by 18.463.945.5+18.4
- AA IntelligenceDeepSeek-V4.1-Flash by 9.139.530.4+9.1
- vectara_avg_summary_lengthGPT-5.2 by 78.1 rating points108.2186.3+78.1 rating
- ARC-AGI-1DeepSeek-V4.1-Flash by 7.393.586.2+7.3
- vectara_factual_consistencyDeepSeek-V4.1-Flash by 6.695.889.2+6.6
- AA-OmniscienceGPT-5.2 by 4.4-5.3-0.9+4.4
- livebench_languageDeepSeek-V4.1-Flash by 1.481.279.8+1.4
- livebench_data_analysisDeepSeek-V4.1-Flash by 1.179.378.2+1.1
- vectara_answer_ratetie99.9100tie
Questions people ask
Which is better, DeepSeek-V4.1-Flash or GPT-5.2?
DeepSeek-V4.1-Flash wins all eight areas we test: coding, agents, reasoning, facts, images and charts, math, long documents and following instructions. GPT-5.2 wins none.
Which is better for coding?
DeepSeek-V4.1-Flash. It wins 3 of the 4 coding tests both models report; GPT-5.2 wins none, and 1 is a tie.
Which is cheaper?
DeepSeek-V4.1-Flash costs $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.2 costs $1.75 and $14.00. That makes DeepSeek-V4.1-Flash about 90% cheaper for the same work.
How do you compare the two?
We use the 32 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 10 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.