Model comparison
Deepseek Coder v2 vs gpt-oss-120b
Deepseek Coder v2 and gpt-oss-120b score almost the same on the Noometry Index (35.9 vs 36.3), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 3 categories and gpt-oss-120b in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 34.9.
Side by side
| Deepseek Coder v2 | gpt-oss-120b | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.9 | 36.3 |
| Released | 2024-06-17 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 41K |
| Input $ / M tokens | — | $0.037 |
| Output $ / M tokens | — | $0.17 |
| Results tracked | 24 | 48 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), gpt-oss-120b: 33.5 (#256)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1251 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, gpt-oss-120b: 12.2 (#153)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), gpt-oss-120b: 20.0 (#245)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1364 |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| Epoch Capabilities Index | — | 139.93 |
| WinoGrande | 83.7% | — |
Math gpt-oss-120b leads
Deepseek Coder v2: 34.9 (#190), gpt-oss-120b: 52.5 (#50)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Math | 1241 | 1389 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
| GSM8K | 94.5% | — |
Knowledge gpt-oss-120b leads
Deepseek Coder v2: 32.3 (#212), gpt-oss-120b: 42.4 (#96)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Expert | 1181 | 1356 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual gpt-oss-120b leads
Deepseek Coder v2: 36.3 (#240), gpt-oss-120b: 48.0 (#147)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1182 | 1351 |
| LMArena Chinese | 1201 | 1385 |
| LMArena French | 1185 | 1369 |
| LMArena German | 1164 | 1353 |
| LMArena Japanese | 1126 | 1331 |
| LMArena Korean | 1104 | 1282 |
| LMArena Russian | 1188 | 1343 |
| LMArena Spanish | 1153 | 1389 |
Instruction Following gpt-oss-120b leads
Deepseek Coder v2: 61.7 (#242), gpt-oss-120b: 69.3 (#173)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1180 | 1318 |
| IFEval | — | 83.6% |
Long Context Deepseek Coder v2 leads
Deepseek Coder v2: 37.0 (#224), gpt-oss-120b: 31.4 (#278)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1219 | 1319 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference gpt-oss-120b leads
Deepseek Coder v2: 38.2 (#253), gpt-oss-120b: 46.5 (#217)
| Benchmark | Deepseek Coder v2 | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1191 | 1365 |
| LMArena Creative Writing | 1120 | 1275 |
| LMArena Multi-Turn | 1177 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
Frequently asked questions
Is Deepseek Coder v2 better than gpt-oss-120b?
Deepseek Coder v2 and gpt-oss-120b score almost the same on the Noometry Index (35.9 vs 36.3), so choose on price, context window or the category you care about most.
Is Deepseek Coder v2 or gpt-oss-120b better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 33.5 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and gpt-oss-120b share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and gpt-oss-120b has 48.