DeepSeek-V4-Flash vs GPT-6.1 Sol
Wins 0 of 7 areas
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Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Math · Long documents · Following instructions
GPT-6.1 Sol is the stronger all-rounder.DeepSeek-V4-Flash is cheaper.
Scores updated · 26 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 thinking05GPT-6.1 Sol5 of 5 tests
- CodingWriting and fixing software04GPT-6.1 Sol4 of 4 tests
- FactsGetting facts right instead of making them up03GPT-6.1 Sol3 of 3 tests
- MathCompetition and research-level math03GPT-6.1 Sol3 of 3 tests
- AgentsCarrying out multi-step tasks on its own02GPT-6.1 Sol2 of 2 tests
- 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
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-Flash 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-6.1 Sol pulls ahead
- Extremely hard research-level math problemsFrontierMath Tier 4+75.6points ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+44points ahead
- Short factual questions, answered correctlySimpleQA Verified+39.8points ahead
Where DeepSeek-V4-Flash pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 26 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 321 rating points14301751+321 rating
- LiveBench · Agentic CodingGPT-6.1 Sol by 7.846.854.5+7.8
- LiveBench · CodingGPT-6.1 Sol by 5.47580.4+5.4
- SciCodeGPT-6.1 Sol by 3.950.354.2+3.9
AgentsGPT-6.1 Sol
- Terminal-Bench 4.0GPT-6.1 Sol by 4412.156.1+44
- GDPValGPT-6.1 Sol by 846.754.7+8
ReasoningGPT-6.1 Sol
- SimpleBenchGPT-6.1 Sol by 36.646.382.9+36.6
- ARC-AGI-2GPT-6.1 Sol by 32.861.494.2+32.8
- CritPtGPT-6.1 Sol by 15.116.631.7+15.1
- Humanity's Last ExamGPT-6.1 Sol by 14.338.652.9+14.3
- LiveBench · ReasoningGPT-6.1 Sol by 686.692.6+6
FactsGPT-6.1 Sol
- SimpleQA VerifiedGPT-6.1 Sol by 39.834.173.9+39.8
- AA-Omniscience · Non-hallucinationGPT-6.1 Sol by 37.48.345.7+37.4
- AA-Omniscience · AccuracyGPT-6.1 Sol by 21.740.462.1+21.7
MathGPT-6.1 Sol
- FrontierMath Tier 4GPT-6.1 Sol by 75.624.4100+75.6
- FrontierMath Tiers 1-3 (v2)GPT-6.1 Sol by 36.257.593.7+36.2
- LiveBench · MathematicsGPT-6.1 Sol by 1086.896.8+10
Following instructionsGPT-6.1 Sol
- LiveBench · Instruction FollowingGPT-6.1 Sol by 8.765.574.2+8.7
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 55.8-14.341.5+55.8
- DeepSWE 1.1GPT-6.1 Sol by 20.854.475.2+20.8
- AA IntelligenceGPT-6.1 Sol by 17.534.351.8+17.5
- HiL-Bench (Tools-allowed)GPT-6.1 Sol by 14.547.862.3+14.5
- livebench_languageGPT-6.1 Sol by 10.979.290.1+10.9
- ARC-AGI-1GPT-6.1 Sol by 7.58996.5+7.5
- livebench_data_analysisGPT-6.1 Sol by 3.479.382.7+3.4
Questions people ask
Which is better, DeepSeek-V4-Flash or GPT-6.1 Sol?
GPT-6.1 Sol wins all seven areas where both have results: coding, agents, reasoning, facts, math, long documents and following instructions. DeepSeek-V4-Flash wins none, but costs 97% less.
Which is better for coding?
GPT-6.1 Sol. It wins 4 of the 4 coding tests both models report; DeepSeek-V4-Flash wins none.
Which is cheaper?
DeepSeek-V4-Flash costs $0.14 per million input tokens and $0.28 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. That makes DeepSeek-V4-Flash about 97% cheaper for the same work.
How do you compare the two?
We use the 26 benchmark tests both models have published scores on. The verdict counts the 19 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.