Model comparison
Command R vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Command R scores higher in 1 category and gpt-oss-20b in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 39.4 to 28.0.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 68% for gpt-oss-20b.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.15 / $0.60 for Command R.
- gpt-oss-20b accepts more context: 131K tokens versus 128K.
Side by side
| Command R | gpt-oss-20b | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 32.5 |
| Released | 2024-08-30 | 2025-08-05 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.15 | $0.018 |
| Output $ / M tokens | $0.60 | $0.09 |
| Results tracked | 29 | 34 |
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Category by category
Coding gpt-oss-20b leads
Command R: 29.3 (#306), gpt-oss-20b: 37.6 (#192)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1169 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
Command R: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning gpt-oss-20b leads
Command R: 13.8 (#331), gpt-oss-20b: 19.3 (#261)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1274 |
| DTBench | 46.4% | 68% |
| LMCA | 9.2% | 14.5% |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LiveBench Reasoning | 21.9% | — |
| LiveBench Data Analysis | 33.3% | — |
| Epoch Capabilities Index | — | 137.82 |
| LiveBench | 27.5% | — |
Math gpt-oss-20b leads
Command R: 28.0 (#246), gpt-oss-20b: 39.4 (#103)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1155 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
| LiveBench Math | 19.4% | — |
Knowledge gpt-oss-20b leads
Command R: 31.0 (#221), gpt-oss-20b: 34.6 (#195)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 1138 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| MMLU | 65.2% | — |
Multilingual gpt-oss-20b leads
Command R: 35.7 (#245), gpt-oss-20b: 42.2 (#197)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1174 | 1268 |
| LMArena Chinese | 1182 | 1314 |
| LMArena German | 1176 | 1255 |
| LMArena Japanese | 1143 | 1244 |
| LMArena Korean | 1163 | 1236 |
| LMArena Russian | 1174 | 1278 |
| LMArena Spanish | 1151 | 1267 |
| LMArena French | 1162 | — |
Instruction Following gpt-oss-20b leads
Command R: 58.1 (#261), gpt-oss-20b: 61.8 (#240)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1167 | 1236 |
| LiveBench Instruction Following | 55.6% | — |
| IFEval | — | 73.2% |
Long Context gpt-oss-20b leads
Command R: 36.3 (#231), gpt-oss-20b: 37.9 (#209)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1198 | 1250 |
Writing & Preference Command R leads
Command R: 38.2 (#254), gpt-oss-20b: 35.5 (#265)
| Benchmark | Command R | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1187 | 1287 |
| LMArena Creative Writing | 1170 | 1201 |
| LMArena Multi-Turn | 1163 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.4 on the Noometry Index.
Which is cheaper, Command R or gpt-oss-20b?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Command R lists at $0.15 and $0.60.
Is Command R or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-20b does, with 131K tokens against 128K.
How many benchmarks do Command R and gpt-oss-20b share?
18 benchmarks have published results for both models. Command R has 29 scored results on Noometry and gpt-oss-20b has 34.