Model comparison
Command R vs gpt-oss-120b
gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.
Last verified . 19 shared benchmarks.
CohereSummary
- They share 19 benchmarks with published results for both. Command R scores higher in 1 category and gpt-oss-120b in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 28.0.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 76.3% for gpt-oss-120b.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.15 / $0.60 for Command R.
- gpt-oss-120b accepts more context: 131K tokens versus 128K.
Side by side
| Command R | gpt-oss-120b | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 36.3 |
| Released | 2024-08-30 | 2025-08-05 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 4K | 41K |
| Input $ / M tokens | $0.15 | $0.037 |
| Output $ / M tokens | $0.60 | $0.17 |
| Results tracked | 29 | 48 |
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Category by category
Coding gpt-oss-120b leads
Command R: 29.3 (#306), gpt-oss-120b: 33.5 (#256)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1169 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Not comparable
Command R: —, gpt-oss-120b: 12.2 (#153)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning gpt-oss-120b leads
Command R: 13.8 (#331), gpt-oss-120b: 20.0 (#245)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1364 |
| DTBench | 46.4% | 76.3% |
| LMCA | 9.2% | 22.1% |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| LiveBench Reasoning | 21.9% | — |
| Mystery Game Puzzles | — | 2% |
| LiveBench Data Analysis | 33.3% | — |
| Surface Evolver Bench | — | 25% |
| Epoch Capabilities Index | — | 139.93 |
| LiveBench | 27.5% | — |
Math gpt-oss-120b leads
Command R: 28.0 (#246), gpt-oss-120b: 52.5 (#50)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Math | 1155 | 1389 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
| LiveBench Math | 19.4% | — |
Knowledge gpt-oss-120b leads
Command R: 31.0 (#221), gpt-oss-120b: 42.4 (#96)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Expert | 1138 | 1356 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| MMLU | 65.2% | — |
Multilingual gpt-oss-120b leads
Command R: 35.7 (#245), gpt-oss-120b: 48.0 (#147)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1174 | 1351 |
| LMArena Chinese | 1182 | 1385 |
| LMArena French | 1162 | 1369 |
| LMArena German | 1176 | 1353 |
| LMArena Japanese | 1143 | 1331 |
| LMArena Korean | 1163 | 1282 |
| LMArena Russian | 1174 | 1343 |
| LMArena Spanish | 1151 | 1389 |
Instruction Following gpt-oss-120b leads
Command R: 58.1 (#261), gpt-oss-120b: 69.3 (#173)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1167 | 1318 |
| LiveBench Instruction Following | 55.6% | — |
| IFEval | — | 83.6% |
Long Context Command R leads
Command R: 36.3 (#231), gpt-oss-120b: 31.4 (#278)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1198 | 1319 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference gpt-oss-120b leads
Command R: 38.2 (#254), gpt-oss-120b: 46.5 (#217)
| Benchmark | Command R | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1187 | 1365 |
| LMArena Creative Writing | 1170 | 1275 |
| LMArena Multi-Turn | 1163 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than gpt-oss-120b?
gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.4 on the Noometry Index.
Which is cheaper, Command R or gpt-oss-120b?
gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; Command R lists at $0.15 and $0.60.
Is Command R or gpt-oss-120b better for coding?
gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-120b does, with 131K tokens against 128K.
How many benchmarks do Command R and gpt-oss-120b share?
19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and gpt-oss-120b has 48.