Model comparison
Claude 3 Opus vs DeepSeek-V3.1
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 29.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude 3 Opus scores higher in 1 category and DeepSeek-V3.1 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1 leads 38.9 to 14.8.
- The biggest single-benchmark swing is DTBench: 61.6% for Claude 3 Opus and 82.7% for DeepSeek-V3.1.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Opus | DeepSeek-V3.1 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 29.5 | 42.8 |
| Released | 2024-02-29 | 2025-08-21 |
| Weights | Proprietary | Open |
| Context window | — | 164K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.95 |
| Results tracked | 46 | 27 |
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Category by category
Coding DeepSeek-V3.1 leads
Claude 3 Opus: 32.9 (#267), DeepSeek-V3.1: 40.3 (#144)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| WeirdML | 19.2% | 38.4% |
| LMArena Coding | 1264 | 1417 |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
Claude 3 Opus: 24.6 (#116), DeepSeek-V3.1: —
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| Cybench | 10% | — |
| METR Time Horizons | 29.5% | — |
Reasoning DeepSeek-V3.1 leads
Claude 3 Opus: 14.6 (#324), DeepSeek-V3.1: 27.9 (#110)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| SimpleBench | 23.5% | 40% |
| LMArena Hard Prompts | 1245 | 1417 |
| DTBench | 61.6% | 82.7% |
| LMCA | 17% | 24.3% |
| Epoch Capabilities Index | 126.91 | 139.92 |
| ForecastBench | 58.4 | 58 |
| Kagi LLM Benchmark | — | 53.2% |
| Chess Puzzles | 5% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 40.6% | — |
| LiveBench Data Analysis | 57.9% | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math DeepSeek-V3.1 leads
Claude 3 Opus: 14.8 (#299), DeepSeek-V3.1: 38.9 (#122)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Math | 1273 | 1420 |
| OTIS Mock AIME 2024-2025 | 4.7% | — |
| LiveBench Math | 43.6% | — |
| MATH Level 5 | 37.5% | — |
Knowledge DeepSeek-V3.1 leads
Claude 3 Opus: 24.5 (#267), DeepSeek-V3.1: 43.7 (#90)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Expert | 1223 | 1405 |
| GPQA Diamond | 47.2% | — |
| SimpleQA Verified | 12.6% | — |
| Confabulations | 22.7% | — |
| Vectara Hallucination Rate | — | 5.5% |
| MMLU | 84.6% | — |
Multimodal Not comparable
Claude 3 Opus: 27.1 (#116), DeepSeek-V3.1: —
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Vision | 1023 | — |
Multilingual DeepSeek-V3.1 leads
Claude 3 Opus: 41.4 (#207), DeepSeek-V3.1: 51.6 (#106)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | 1258 | 1400 |
| LMArena Chinese | 1248 | 1469 |
| LMArena French | 1275 | 1447 |
| LMArena German | 1258 | 1411 |
| LMArena Japanese | 1204 | 1378 |
| LMArena Korean | 1187 | 1337 |
| LMArena Russian | 1280 | 1405 |
| LMArena Spanish | 1246 | 1431 |
Instruction Following DeepSeek-V3.1 leads
Claude 3 Opus: 64.1 (#228), DeepSeek-V3.1: 73.9 (#110)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | 1248 | 1400 |
| LiveBench Instruction Following | 63.9% | — |
Long Context Claude 3 Opus leads
Claude 3 Opus: 38.2 (#202), DeepSeek-V3.1: 36.3 (#232)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Longer Query | 1259 | 1422 |
| Fiction.LiveBench | — | 52.8% |
Writing & Preference DeepSeek-V3.1 leads
Claude 3 Opus: 47.2 (#213), DeepSeek-V3.1: 60.3 (#98)
| Benchmark | Claude 3 Opus | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | 1262 | 1420 |
| LMArena Creative Writing | 1235 | 1401 |
| LMArena Multi-Turn | 1275 | 1408 |
| EQ-Bench Creative Writing | — | 1436 |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than DeepSeek-V3.1?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 29.5 on the Noometry Index.
Is Claude 3 Opus or DeepSeek-V3.1 better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and DeepSeek-V3.1 share?
23 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and DeepSeek-V3.1 has 27.