71.2%
MMLU-Pro (AA run)
Models / Cohere
Command · Released 2026-03-15
Cohere's enterprise-focused Command tier. Strong at RAG, tool use, and multilingual retrieval workflows. 256K context.
Pick when your stack already uses Cohere embed + rerank and you want one vendor for retrieval pipelines.
48average across 7 tested families
Where Command A places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| LiveCodeBench | Coding | #12/ 13 | 29 | Artificial Analysis | 2026-07-21 |
| MATH | Math | #14/ 20 | 82 | Artificial Analysis | 2026-07-21 |
| AIME | Math | #18/ 19 | 13 | Artificial Analysis | 2026-07-21 |
| MMLU-Pro | Knowledge | #20/ 21 | 71 | Artificial Analysis | 2026-07-21 |
| τ³-Bench Banking | Agentic | #46/ 64 | 15 | Artificial Analysis | 2026-07-21 |
| AA output speed | Performance | #47/ 69 | Artificial Analysis | 2026-07-21 | |
| AA time to first token | Performance | #57/ 69 | Artificial Analysis | 2026-07-21 | |
| SciCode | Coding | #61/ 65 | 28 | Artificial Analysis | 2026-07-21 |
| AA-LCR | Long context | #62/ 64 | 18 | Artificial Analysis | 2026-07-21 |
| Humanity's Last Exam | Reasoning | #62/ 65 | 5 | Artificial Analysis | 2026-07-21 |
| Artificial Analysis Intelligence Index | Reasoning | #65/ 67 | 8 | Artificial Analysis | 2026-07-21 |
| GPQA Diamond | Reasoning | #66/ 69 | 53 | Artificial Analysis | 2026-07-21 |
| Terminal-Bench | Agentic | #68/ 69 | 1 | Artificial Analysis | 2026-07-21 |
The three highest-scoring carded models in each capability family. Where Command A shows up, it's highlighted.
Benchmark rows added to the public ledger for Command A in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA-LCR | Long context | 18% | Artificial Analysis | 2 |
| AA output speed | Performance | 61 t/s | Artificial Analysis | 2 |
| AA time to first token | Performance | 0.36s | Artificial Analysis | 2 |
| AIME | Math | 13% | Artificial Analysis | 2 |
| Artificial Analysis Intelligence Index | Reasoning | 7.7% | Artificial Analysis | 2 |
| GPQA Diamond | Reasoning | 52.7% | Artificial Analysis | 2 |
| Humanity's Last Exam | Reasoning | 4.6% | Artificial Analysis | 2 |
| LiveCodeBench | Coding | 28.7% | Artificial Analysis | 2 |
| MATH | Math | 81.87% | Artificial Analysis | 2 |
| MMLU-Pro | Knowledge | 71.2% | Artificial Analysis | 2 |
| SciCode | Coding | 28.1% | Artificial Analysis | 2 |
| τ³-Bench Banking | Agentic | 15.2% | Artificial Analysis | 2 |
| Terminal-Bench | Agentic | 0.76% | Artificial Analysis | 2 |
| BFCL | Tool use | 70.6% | Berkeley Function Calling Leaderboard V4 | 99 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for Command A. Scores link to the original source; gaps mean no public row exists yet.
14 of 32 catalog benchmarks have a sourced row for Command A.
71.2%
MMLU-Pro (AA run)
7.7%
AA Intelligence Index v4.1
52.7%
GPQA Diamond (AA run)
4.6%
HLE (AA run)
28.7%
LiveCodeBench (AA run)
28.1%
SciCode (AA run)
0.76%
Terminal-Bench Hard (AA run)
15.2%
τ²-Bench Banking (AA run; maps to τ³ explainer)
18%
AA-LCR (AA run)
70.6%
BFCL
61 t/s
Median output tokens/s (1k prompt, default provider)
0.36s
Median time to first token (1k prompt, default provider)