Model comparison
Claude 2.1 vs DeepSeek-V2.5 (Sep 2024)
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 25.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 35.9 to 10.2.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | DeepSeek-V2.5 (Sep 2024) | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.2 | 37.6 |
| Released | 2023-11-21 | 2024-09-06 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 22 |
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Category by category
Coding DeepSeek-V2.5 (Sep 2024) leads
Claude 2.1: 26.2 (#327), DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| Aider Polyglot | — | 17.8% |
| WeirdML | 7.1% | — |
| BigCodeBench Instruct | — | 48.6% |
| LMArena Coding | — | 1309 |
| BigCodeBench Complete | — | 53.2% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 74.1% |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
Claude 2.1: 21.4 (#221), DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Hard Prompts | — | 1289 |
| DTBench | 51% | — |
| Epoch Capabilities Index | 119.27 | — |
| ForecastBench | 54.2 | — |
Math DeepSeek-V2.5 (Sep 2024) leads
Claude 2.1: 10.2 (#315), DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | — | 1288 |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
Claude 2.1: 15.4 (#292), DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| GPQA Diamond | 33% | — |
| LMArena Expert | — | 1266 |
| MMLU | 73.5% | — |
Multilingual Not comparable
Claude 2.1: —, DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Non-English | — | 1273 |
| LMArena Chinese | — | 1318 |
| LMArena French | — | 1289 |
| LMArena German | — | 1258 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1209 |
| LMArena Russian | — | 1289 |
| LMArena Spanish | — | 1248 |
Instruction Following Not comparable
Claude 2.1: —, DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Instruction Following | — | 1280 |
Long Context Not comparable
Claude 2.1: —, DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Longer Query | — | 1301 |
Writing & Preference Not comparable
Claude 2.1: —, DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
| Benchmark | Claude 2.1 | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Text | — | 1294 |
| LMArena Creative Writing | — | 1285 |
| LMArena Multi-Turn | — | 1297 |
Frequently asked questions
Is Claude 2.1 better than DeepSeek-V2.5 (Sep 2024)?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 25.2 on the Noometry Index.
Is Claude 2.1 or DeepSeek-V2.5 (Sep 2024) better for coding?
DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and DeepSeek-V2.5 (Sep 2024) share?
0 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and DeepSeek-V2.5 (Sep 2024) has 22.