Claude Sonnet 4.6 vs DeepSeek-V4.1-Flash
Wins 0 of 8 areas
—
Wins 7 of 8 areas
Coding · Agents · Reasoning · Facts · Math · Long documents · Following instructions
DeepSeek-V4.1-Flash is the stronger all-rounder.
Scores updated · 33 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 thinking05DeepSeek-V4.1-Flash5 of 5 tests
- CodingWriting and fixing software04DeepSeek-V4.1-Flash4 of 5 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own03DeepSeek-V4.1-Flash3 of 3 tests
- FactsGetting facts right instead of making them up12DeepSeek-V4.1-Flash2 of 3 tests
- MathCompetition and research-level math01DeepSeek-V4.1-Flash1 of 1 test
- Long documentsFinding answers in very long texts01DeepSeek-V4.1-Flash1 of 1 test
- Following instructionsDoing exactly what it is asked01DeepSeek-V4.1-Flash1 of 1 test
- Images and chartsUnderstanding pictures, charts and video11Even1 each · 1 tie
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-V4.1-Flash costs 92% 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+34.7points ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+23.8points ahead
- Abstract visual puzzles that people can solveARC-AGI-2+19.8points ahead
Where Claude Sonnet 4.6 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+48.1points ahead
- Reasoning about charts from research papersCharXiv (RQ)+2.6points ahead
Every test, side by side
All 33 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 34.742.677.3+34.7
- Terminal-Bench 2.1DeepSeek-V4.1-Flash by 19.471.290.6+19.4
- LMArena · WebDevDeepSeek-V4.1-Flash by 96 rating points15231619+96 rating
- SciCodeDeepSeek-V4.1-Flash by 1.850.151.9+1.8
- LiveBench · Codingtie79.380tie
AgentsDeepSeek-V4.1-Flash
- Terminal-Bench 4.0DeepSeek-V4.1-Flash by 23.8326.8+23.8
- GDPValDeepSeek-V4.1-Flash by 18.436.655+18.4
- AA IT-Bench SREDeepSeek-V4.1-Flash by 7.139.846.9+7.1
ReasoningDeepSeek-V4.1-Flash
- ARC-AGI-2DeepSeek-V4.1-Flash by 19.858.378.1+19.8
- CritPtDeepSeek-V4.1-Flash by 11.23.114.3+11.2
- Humanity's Last ExamDeepSeek-V4.1-Flash by 5.633.639.2+5.6
- GPQA DiamondDeepSeek-V4.1-Flash by 3.487.590.9+3.4
- LiveBench · ReasoningDeepSeek-V4.1-Flash by 1.984.886.7+1.9
FactsDeepSeek-V4.1-Flash
- AA-Omniscience · Non-hallucinationClaude Sonnet 4.6 by 48.151.63.5+48.1
- SimpleQA VerifiedDeepSeek-V4.1-Flash by 10.132.842.9+10.1
- AA-Omniscience · AccuracyDeepSeek-V4.1-Flash by 5.540.946.4+5.5
Images and chartsEven
- MMMU-ProDeepSeek-V4.1-Flash by 3.773.377+3.7
- CharXiv (RQ)Claude Sonnet 4.6 by 2.671.669+2.6
- LMArena · Visiontie12831278tie
Following instructionsDeepSeek-V4.1-Flash
- LiveBench · Instruction FollowingDeepSeek-V4.1-Flash by 6.863.270+6.8
Other results11 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.
- GDP (Surge AI)Claude Sonnet 4.6 by 61.478.617.2+61.4
- DeepSWE 1.1DeepSeek-V4.1-Flash by 44.23074.2+44.2
- AA-OmniscienceClaude Sonnet 4.6 by 17.512.2-5.3+17.5
- HLE (with tools)DeepSeek-V4.1-Flash by 17.146.863.9+17.1
- AA IntelligenceDeepSeek-V4.1-Flash by 9.430.139.5+9.4
- ARC-AGI-1DeepSeek-V4.1-Flash by 7.58693.5+7.5
- vectara_factual_consistencyDeepSeek-V4.1-Flash by 6.489.495.8+6.4
- livebench_languageDeepSeek-V4.1-Flash by 5.176.181.2+5.1
- livebench_data_analysisDeepSeek-V4.1-Flash by 1.37879.3+1.3
- vectara_avg_summary_lengthtie114.7108.2tie
- vectara_answer_ratetie99.999.9tie
Questions people ask
Which is better, Claude Sonnet 4.6 or DeepSeek-V4.1-Flash?
DeepSeek-V4.1-Flash wins seven of the eight areas we test: coding, agents, reasoning, facts, math, long documents and following instructions. Claude Sonnet 4.6 wins none. They are level on images and charts.
Which is better for coding?
DeepSeek-V4.1-Flash. It wins 4 of the 5 coding tests both models report; Claude Sonnet 4.6 wins none, and 1 is a tie.
Which is cheaper?
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek-V4.1-Flash costs $0.30 and $1.20. That makes DeepSeek-V4.1-Flash about 92% cheaper for the same work.
How do you compare the two?
We use the 33 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 11 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.