# Claude 2.1 vs DeepSeek V4 Pro

> DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 25.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-2-1-vs-deepseek-v4-pro
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Claude 2.1 scores higher in 0 categories and DeepSeek V4 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 10.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Claude 2.1 and 98.6% for DeepSeek V4 Pro.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 25.2 | 54.3 |
| Rank | 345 | 31 |
| Context | — | 1M |
| Input $/M | — | $0.66 |
| Output $/M | — | $1.98 |
| Weights | Proprietary | Open |

## Coding

- Claude 2.1: 26.2 (#327)
- DeepSeek V4 Pro: 52.4 (#34)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| WeirdML | 7.1% | 66.2% |
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| LMArena Coding | — | 1470 |
| ALE-Bench | — | 1,403 |

## Agentic & Tool Use

- Claude 2.1: —
- DeepSeek V4 Pro: 32.8 (#58)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Vending-Bench 2 | — | 3,285 |

## Reasoning

- Claude 2.1: 21.4 (#221)
- DeepSeek V4 Pro: 56.5 (#24)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| DTBench | 51% | 93.9% |
| Epoch Capabilities Index | 119.27 | 155.31 |
| ForecastBench | 54.2 | 56.1 |
| ARC-AGI-2 | — | 61.3% |
| Kagi LLM Benchmark | — | 53.5% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| LMArena Hard Prompts | — | 1461 |
| Mystery Game Puzzles | — | 43% |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |

## Math

- Claude 2.1: 10.2 (#315)
- DeepSeek V4 Pro: 64.8 (#30)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 98.6% |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| ProofBench | — | 50% |
| LMArena Math | — | 1455 |

## Knowledge

- Claude 2.1: 15.4 (#292)
- DeepSeek V4 Pro: 59.5 (#31)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | 33% | 91.7% |
| SimpleQA Verified | — | 52.9% |
| Vectara Hallucination Rate | — | 8.6% |
| LMArena Expert | — | 1464 |
| MMLU | 73.5% | — |

## Multilingual

- Claude 2.1: —
- DeepSeek V4 Pro: 54.4 (#45)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | — | 1439 |
| LMArena Chinese | — | 1486 |
| LMArena French | — | 1472 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1447 |
| LMArena Russian | — | 1453 |
| LMArena Spanish | — | 1458 |

## Instruction Following

- Claude 2.1: —
- DeepSeek V4 Pro: 76.1 (#47)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | — | 1448 |

## Long Context

- Claude 2.1: —
- DeepSeek V4 Pro: 45.0 (#51)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| CL-bench Life | — | 13.5% |
| LMArena Longer Query | — | 1458 |

## Writing & Preference

- Claude 2.1: —
- DeepSeek V4 Pro: 65.5 (#46)

| Benchmark | Claude 2.1 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | — | 1451 |
| LMArena Creative Writing | — | 1446 |
| EQ-Bench Creative Writing | — | 1553 |
| EQ-Bench 4 | — | 1166 |
| LMArena Multi-Turn | — | 1467 |

## FAQ

### Is Claude 2.1 better than DeepSeek V4 Pro?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 25.2 on the Noometry Index.

### Is Claude 2.1 or DeepSeek V4 Pro better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 26.2 in the Noometry coding category.

### How many benchmarks do Claude 2.1 and DeepSeek V4 Pro share?

6 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and DeepSeek V4 Pro has 48.