Model comparison
Command A vs DeepSeek-V2 (MoE-236B, May 2024)
Command A has enough public results to be ranked (#212); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Cohere
DeepSeekSummary
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 26.8.
Side by side
| Command A | DeepSeek-V2 (MoE-236B, May 2024) | |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 35.9 | 39.7 |
| Released | 2025-03-13 | 2024-05-07 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
Command A: 26.8 (#317), DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Aider Polyglot | 12% | — |
| BigCodeBench Instruct | — | 48.9% |
| LMArena Coding | 1331 | — |
| BigCodeBench Complete | — | 59.4% |
Agentic & Tool Use Not comparable
Command A: 35.7 (#36), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Not comparable
Command A: 17.7 (#276), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| BIG-Bench Hard | — | 78.8% |
| Epoch Capabilities Index | — | 124.78 |
| HellaSwag | — | 87.1% |
| PIQA | — | 83.9% |
| WinoGrande | — | 86.3% |
Math Not comparable
Command A: 33.5 (#172), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Math | 1300 | — |
Knowledge Not comparable
Command A: 36.5 (#157), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
| ARC (AI2) Challenge | — | 92.2% |
| MMLU | — | 78.4% |
| TriviaQA | — | 80% |
Multilingual Not comparable
Command A: 45.5 (#166), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| 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), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#147), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Not comparable
Command A: 47.8 (#204), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Command A | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1338 | — |
Frequently asked questions
Is Command A better than DeepSeek-V2 (MoE-236B, May 2024)?
Command A has enough public results to be ranked (#212); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is Command A or DeepSeek-V2 (MoE-236B, May 2024) better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 26.8 in the Noometry coding category.
How many benchmarks do Command A and DeepSeek-V2 (MoE-236B, May 2024) share?
0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and DeepSeek-V2 (MoE-236B, May 2024) has 10.