# Claude 3 Opus vs DeepSeek-V3.2-Exp

> DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.9 to 29.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-opus-vs-deepseek-v3-2-exp
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and DeepSeek-V3.2-Exp in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.6 to 24.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.7% for Claude 3 Opus and 87.8% for DeepSeek-V3.2-Exp.
- DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 29.3 | 44.9 |
| Rank | 300 | 68 |
| Context | — | 164K |
| Input $/M | — | $0.26 |
| Output $/M | — | $0.38 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Opus: 32.4 (#261)
- DeepSeek-V3.2-Exp: 46.4 (#61)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| WeirdML | 19.2% | 39.5% |
| LMArena Coding | 1264 | 1454 |
| SWE-bench Verified (bash only) | — | 70% |
| Aider Polyglot | — | 74.2% |
| LMArena WebDev | — | 1362 |
| SWE-bench Multilingual | — | 59% |
| SciCode | — | 38.9% |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |

## Agentic & Tool Use

- Claude 3 Opus: 24.3 (#110)
- DeepSeek-V3.2-Exp: 37.9 (#31)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| Terminal-Bench | — | 39.6% |
| Berkeley Function Calling Leaderboard | — | 56.7% |
| TheAgentCompany | — | 42.9% |
| Cybench | 10% | — |
| METR Time Horizons | 29.5% | — |
| Vending-Bench 2 | — | 1,034 |

## Reasoning

- Claude 3 Opus: 14.2 (#318)
- DeepSeek-V3.2-Exp: 22.0 (#185)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| Chess Puzzles | 5% | 14% |
| LMArena Hard Prompts | 1246 | 1433 |
| DTBench | 61.6% | 87.7% |
| LMCA | 17% | 29.1% |
| Epoch Capabilities Index | 126.91 | 146.28 |
| ARC-AGI-2 | — | 4% |
| SimpleBench | 23.5% | — |
| Kagi LLM Benchmark | — | 52.2% |
| NYT Connections (extended) | — | 36.7% |
| ARC-AGI-1 | — | 57% |
| CritPt | — | 2.9% |
| EnigmaEval | 0.8% | — |
| Thematic Generalization | — | 65% |
| LiveBench Reasoning | 40.6% | — |
| LiveBench Data Analysis | 57.9% | — |
| ForecastBench | 58.4 | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |

## Math

- Claude 3 Opus: 13.9 (#293)
- DeepSeek-V3.2-Exp: 40.8 (#75)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | 87.8% |
| LMArena Math | 1273 | 1435 |
| MathArena Final-Answer Competitions | — | 57.7% |
| ProofBench | — | 8% |
| LiveBench Math | 43.6% | — |
| MATH Level 5 | 37.5% | — |
| FrontierMath (Feb 2025 set) | — | 22.1% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Claude 3 Opus: 24.5 (#262)
- DeepSeek-V3.2-Exp: 51.6 (#61)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| GPQA Diamond | 47.2% | 83.4% |
| LMArena Expert | 1223 | 1436 |
| SimpleQA Verified | 12.6% | — |
| Confabulations | 22.7% | — |
| Vectara Hallucination Rate | — | 5.3% |
| MMLU | 84.6% | — |

## Multimodal

- Claude 3 Opus: 26.6 (#112)
- DeepSeek-V3.2-Exp: —

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Vision | 1023 | — |

## Multilingual

- Claude 3 Opus: 41.6 (#202)
- DeepSeek-V3.2-Exp: 52.4 (#85)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Non-English | 1258 | 1409 |
| LMArena Chinese | 1248 | 1461 |
| LMArena French | 1274 | 1435 |
| LMArena German | 1258 | 1440 |
| LMArena Japanese | 1204 | 1377 |
| LMArena Korean | 1187 | 1372 |
| LMArena Russian | 1280 | 1423 |
| LMArena Spanish | 1246 | 1441 |

## Instruction Following

- Claude 3 Opus: 64.3 (#223)
- DeepSeek-V3.2-Exp: 74.7 (#89)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Instruction Following | 1248 | 1413 |
| LiveBench Instruction Following | 63.9% | — |

## Long Context

- Claude 3 Opus: 38.2 (#197)
- DeepSeek-V3.2-Exp: 47.6 (#15)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Longer Query | 1259 | 1428 |
| Fiction.LiveBench | — | 83.3% |
| CL-bench | — | 13.2% |
| CL-bench Life | — | 9.5% |

## Writing & Preference

- Claude 3 Opus: 47.4 (#208)
- DeepSeek-V3.2-Exp: 62.5 (#73)

| Benchmark | Claude 3 Opus | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Text | 1262 | 1425 |
| LMArena Creative Writing | 1235 | 1403 |
| LMArena Multi-Turn | 1275 | 1427 |
| EQ-Bench Creative Writing | — | 1515 |
| LiveBench Language | 50.4% | — |

## FAQ

### Is Claude 3 Opus better than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.9 to 29.3 on the Noometry Index.

### Is Claude 3 Opus or DeepSeek-V3.2-Exp better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.4 versus 32.4 in the Noometry coding category.

### How many benchmarks do Claude 3 Opus and DeepSeek-V3.2-Exp share?

24 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and DeepSeek-V3.2-Exp has 48.