# DeepSeek-V2 (MoE-236B, May 2024) vs gpt-oss-20b

> gpt-oss-20b has enough public results to be ranked (#255); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-gpt-oss-20b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and gpt-oss-20b in 0 categories; one gap is clear of the uncertainty.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 40.3 | 32.5 |
| Rank | — | 255 |
| Context | — | 131K |
| Input $/M | — | $0.018 |
| Output $/M | — | $0.09 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- gpt-oss-20b: 37.6 (#192)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1306 |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 566.05 |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 9.3 (#154)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 19.3 (#261)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 137.82 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | — | 1274 |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 39.4 (#103)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
| LMArena Math | — | 1317 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 34.6 (#195)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1258 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 42.2 (#197)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | — | 1268 |
| LMArena Chinese | — | 1314 |
| LMArena German | — | 1255 |
| LMArena Japanese | — | 1244 |
| LMArena Korean | — | 1236 |
| LMArena Russian | — | 1278 |
| LMArena Spanish | — | 1267 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 61.8 (#240)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| IFEval | — | 73.2% |
| LMArena Instruction Following | — | 1236 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 37.9 (#209)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | — | 1250 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- gpt-oss-20b: 35.5 (#265)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1201 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LMArena Multi-Turn | — | 1268 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than gpt-oss-20b?

gpt-oss-20b has enough public results to be ranked (#255); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or gpt-oss-20b better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 37.6 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and gpt-oss-20b share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and gpt-oss-20b has 34.