Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs gpt-oss-20b
gpt-oss-20b has enough public results to be ranked (#249); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- 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.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 32.1 |
| Released | 2024-05-07 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 10 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), gpt-oss-20b: 37.1 (#185)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1307 |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 9.2 (#146)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 18.8 (#251)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 137.81 |
| 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 Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 37.6 (#93)
| 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 Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 34.6 (#186)
| 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 Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 42.4 (#192)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1311 |
| LMArena German | — | 1249 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1239 |
| LMArena Russian | — | 1279 |
| LMArena Spanish | — | 1267 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 62.0 (#235)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| IFEval | — | 73.2% |
| LMArena Instruction Following | — | 1236 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 37.9 (#203)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | — | 1251 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, gpt-oss-20b: 35.8 (#260)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Text | — | 1288 |
| LMArena Creative Writing | — | 1201 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LMArena Multi-Turn | — | 1268 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than gpt-oss-20b?
gpt-oss-20b has enough public results to be ranked (#249); 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: 39.8 versus 37.1 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.