Claude Opus 4 vs DeepSeek-R1
Wins 3 of 5 areas
Coding · Reasoning · Following instructions
Wins 0 of 5 areas
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Claude Opus 4 is the stronger all-rounder.DeepSeek-R1 is cheaper.
Scores updated · 39 tests both models report · How we compare
Where each one wins
Tests won in each of the five 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 software30Claude Opus 43 of 3 tests
- ReasoningHard problems that need careful thinking20Claude Opus 42 of 2 tests
- Following instructionsDoing exactly what it is asked20Claude Opus 42 of 2 tests
- FactsGetting facts right instead of making them up00Even0 each · 1 tie
- Long documentsFinding answers in very long texts11Even1 each
Facts rests on a single test.
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-R1 costs 93% 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 Claude Opus 4 pulls ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+25points ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+23.3points ahead
- Keeps track of context across a multi-turn chatMulti-Challenge+17.9points ahead
Where DeepSeek-R1 pulls ahead
- Questions about very long textsLongBench v2+2.7points ahead
Every test, side by side
All 39 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Opus 4
- Terminal-Bench HardClaude Opus 4 by 2531.16.1+25
- SWE-bench VerifiedClaude Opus 4 by 23.372.549.2+23.3
- SciCodeClaude Opus 4 by 1.539.838.3+1.5
ReasoningClaude Opus 4
- GPQA DiamondClaude Opus 4 by 8.879.670.8+8.8
- Humanity's Last ExamClaude Opus 4 by 3.812.38.5+3.8
Long documentsEven
- AA-LCRClaude Opus 4 by 11.669.357.7+11.6
- LongBench v2DeepSeek-R1 by 2.755.658.3+2.7
Following instructionsClaude Opus 4
- Multi-ChallengeClaude Opus 4 by 17.958.640.7+17.9
- IFBenchClaude Opus 4 by 14.753.739+14.7
Other results29 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)Claude Opus 4 by 6273.411.4+62
- HarmBenchClaude Opus 4 by 43.891.747.9+43.8
- AIR-Bench 2024Claude Opus 4 by 32.885.752.9+32.8
- AIME 2024DeepSeek-R1 by 31.648.279.8+31.6
- CNMO 2024DeepSeek-R1 by 21.257.678.8+21.2
- ARC-AGI-1Claude Opus 4 by 19.935.715.8+19.9
- ZebraLogicDeepSeek-R1 by 19.459.378.7+19.4
- HMMT Feb. 2025Claude Opus 4 by 18.36041.7+18.3
- Aider-PolyglotClaude Opus 4 by 17.470.753.3+17.4
- OpenAI-MRCR (128k)Claude Opus 4 by 13.148.935.8+13.1
- Artificial Analysis Coding IndexClaude Opus 4 by 9.43424.6+9.4
- AA IntelligenceClaude Opus 4 by 9.220.611.4+9.2
- SimpleQADeepSeek-R1 by 7.322.830.1+7.3
- LiveCodeBenchClaude Opus 4 by 6.970.463.5+6.9
- vectara_answer_rateDeepSeek-R1 by 69197+6
- AIME 2025Claude Opus 4 by 5.575.570+5.5
- IFEvalClaude Opus 4 by 4.187.483.3+4.1
- vectara_avg_summary_lengthClaude Opus 4 by 29.7 rating points123.293.5+29.7 rating
- MATH-500 (EM)DeepSeek-R1 by 2.994.497.3+2.9
- MMLU-ProClaude Opus 4 by 2.686.684+2.6
- XSTestClaude Opus 4 by 2.69794.4+2.6
- MMLUClaude Opus 4 by 2.192.990.8+2.1
- simple_safety_testsClaude Opus 4 by 210098+2
- anthropic_red_teamClaude Opus 4 by 1.798.997.2+1.7
- MMLU-ReduxClaude Opus 4 by 1.394.292.9+1.3
- LiveCodeBench (24/8~25/5)tie56.655.9tie
- vectara_factual_consistencytie8888.7tie
- bbqtie97.196.6tie
- FullStackBenchtie70.370.1tie
Questions people ask
Which is better, Claude Opus 4 or DeepSeek-R1?
Claude Opus 4 wins three of the five areas where both have results: coding, reasoning and following instructions. DeepSeek-R1 wins none, but costs 93% less. They are level on facts and long documents.
Which is better for coding?
Claude Opus 4. It wins 3 of the 3 coding tests both models report; DeepSeek-R1 wins none.
Which is cheaper?
Claude Opus 4 costs $15.00 per million input tokens and $75.00 per million output tokens; DeepSeek-R1 costs $2.00 and $4.00. That makes DeepSeek-R1 about 93% cheaper for the same work.
How do you compare the two?
We use the 39 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 29 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.