Model comparison
Command A vs INTELLECT-1
Command A has enough public results to be ranked (#212); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Cohere
Hugging FaceSummary
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | INTELLECT-1 | |
|---|---|---|
| Provider | Cohere | Hugging Face |
| Noometry Index | 35.9 | — |
| Released | 2025-03-13 | 2024-11-29 |
| Weights | Open | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 7 |
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Category by category
Coding Not comparable
Command A: 26.8 (#317), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1331 | — |
Agentic & Tool Use Not comparable
Command A: 35.7 (#36), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Not comparable
Command A: 17.7 (#276), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| BIG-Bench Hard | — | 34.9% |
| Epoch Capabilities Index | — | 100.38 |
| HellaSwag | — | 71.4% |
| WinoGrande | — | 65.8% |
Math Not comparable
Command A: 33.5 (#172), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| LMArena Math | 1300 | — |
| GSM8K | — | 38.6% |
Knowledge Not comparable
Command A: 36.5 (#157), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |
Multilingual Not comparable
Command A: 45.5 (#166), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1352 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Command A: 69.3 (#172), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#147), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Not comparable
Command A: 47.8 (#204), INTELLECT-1: —
| Benchmark | Command A | INTELLECT-1 |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1338 | — |
Frequently asked questions
Is Command A better than INTELLECT-1?
Command A has enough public results to be ranked (#212); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do Command A and INTELLECT-1 share?
0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and INTELLECT-1 has 7.