# Claude 2 vs DeepSeek-R1

> DeepSeek-R1 is the stronger model overall, scoring 42.3 to 25.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-2-vs-deepseek-r1
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Claude 2 scores higher in 1 category and DeepSeek-R1 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-R1 leads 43.8 to 9.3.
- The biggest single-benchmark swing is MATH Level 5: 11.7% for Claude 2 and 96.6% for DeepSeek-R1.

## Snapshot

| | Claude 2 | DeepSeek-R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.0 | 42.3 |
| Rank | 346 | 115 |
| Context | — | 164K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2.15 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude 2: —
- DeepSeek-R1: 46.3 (#68)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| Aider Polyglot | — | 71.4% |
| SciCode | — | 35.7% |
| WeirdML | — | 41.6% |
| LiveBench Coding | — | 66.7% |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 804.12 |
| AlgoTune | — | 1.7 |
| HumanEval+ | 61.6% | — |

## Agentic & Tool Use

- Claude 2: —
- DeepSeek-R1: 30.7 (#75)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| DeepResearch Bench | — | 35.1% |
| BALROG | — | 34.9% |
| METR Time Horizons | — | 53.8% |

## Reasoning

- Claude 2: 21.7 (#216)
- DeepSeek-R1: 18.6 (#278)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| Epoch Capabilities Index | 120.13 | 141.29 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 40.8% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 21.2% |
| CritPt | — | 1.1% |
| LiveBench Reasoning | — | 83.2% |
| LMArena Hard Prompts | — | 1416 |
| DTBench | 51.9% | — |
| LiveBench Data Analysis | — | 69.8% |
| ForecastBench | — | 60 |
| LiveBench | — | 71.6% |

## Math

- Claude 2: 9.3 (#320)
- DeepSeek-R1: 43.8 (#79)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | 66.4% |
| MATH Level 5 | 11.7% | 96.6% |
| Omni-MATH | — | 42.4% |
| LiveBench Math | — | 80.7% |
| LMArena Math | — | 1400 |

## Knowledge

- Claude 2: 16.9 (#287)
- DeepSeek-R1: 44.5 (#87)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| GPQA Diamond | 34.7% | 76.3% |
| MMLU-Pro | — | 79.3% |
| Confabulations | — | 12.7% |
| Vectara Hallucination Rate | — | 11.3% |
| GPQA (HELM) | — | 66.6% |
| LMArena Expert | — | 1394 |
| MMLU | 78.5% | — |
| TriviaQA | 87.5% | — |

## Multilingual

- Claude 2: —
- DeepSeek-R1: 52.4 (#85)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| LMArena Non-English | — | 1412 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1417 |
| LMArena German | — | 1404 |
| LMArena Japanese | — | 1391 |
| LMArena Korean | — | 1360 |
| LMArena Russian | — | 1423 |
| LMArena Spanish | — | 1411 |

## Instruction Following

- Claude 2: —
- DeepSeek-R1: 72.0 (#143)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| LiveBench Instruction Following | — | 80.5% |
| IFEval | — | 78.4% |
| LMArena Instruction Following | — | 1382 |

## Long Context

- Claude 2: —
- DeepSeek-R1: 45.4 (#36)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| Fiction.LiveBench | — | 75% |
| LMArena Longer Query | — | 1391 |

## Writing & Preference

- Claude 2: —
- DeepSeek-R1: 61.4 (#88)

| Benchmark | Claude 2 | DeepSeek-R1 |
|---|---|---|
| LMArena Text | — | 1428 |
| LMArena Creative Writing | — | 1405 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1500 |
| WildBench | — | 82.8% |
| LMArena Multi-Turn | — | 1405 |
| LiveBench Language | — | 48.5% |

## FAQ

### Is Claude 2 better than DeepSeek-R1?

DeepSeek-R1 is the stronger model overall, scoring 42.3 to 25.0 on the Noometry Index.

### How many benchmarks do Claude 2 and DeepSeek-R1 share?

4 benchmarks have published results for both models. Claude 2 has 8 scored results on Noometry and DeepSeek-R1 has 52.