Command A
Command A is a Cohere open-weights model, released 13 Mar 2025. Its best configuration ranks #616 of 785 on the BenchLeader Index at 41.8 ±4.2, in the lower half. The ± is the point: 294 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in human preference (52) and lowest in coding (32). At $4.38 per million tokens blended it is among the most expensive ranked models. Output speed of 55 tokens per second puts it slower than most, with a first answer in 1.7 s. Last measured 22 Oct 2026.
- Blended price
- $4.38/M
- $2.50 in · $10.00 out
- Output speed
- 55 tok/s
- measured by Artificial Analysis
- First answer
- 1.74 s
- first token 0.43 s
- Context
- 256k
- Full answer
- 11 s
- median, reasoning included
- Cost per run
- –
- Released
- 13 Mar 2025
- Overall index42
- Reasoning41
- Coding32
- Agents & tools50
- Maths42
- Knowledge39
- Instruction following40
- Human preference52
- Long context35
- Composite37
How its index has moved
9 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Hard Prompts | 1368#198 | Arena (LMArena) | |
| GPQA Diamond (AA)not in index | 52.7%#415 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 4.0%#548 | Artificial Analysis | |
| GPQA Diamond (Vals)not in index | 48.5%#117 | Vals AI | |
| Kagi LLM Benchmark | 28.8%#125 | Kagi LLM Benchmark | |
| CritPt | 0.0%#315 | Artificial Analysis |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Coding | 1389#204 | Arena (LMArena) | |
| LiveCodeBench | 35.1%#131 | Vals AI | |
| SWE-bench (Vals)not in index | 7.8%#85 | Vals AI |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Terminal-Bench Hard | 0.8%#349 | Artificial Analysis | |
| τ²-Bench Telecom (AA)not in index | 15.2%#361 | Artificial Analysis | |
| BFCL Overall | 46.5%#28 | Berkeley Function Calling Leaderboard | |
| Terminal-Bench 2.0 (Vals)not in index | 2.3%#63 | Vals AI |
Maths
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AIME (Vals) | 13.3%#83 | Vals AI | |
| MGSM | 85.7%#63 | Vals AI | |
| MATH 500not in index | 76.2%#42 | Vals AI | |
| Arena Maths | 1310#221 | Arena (LMArena) |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-Omniscience | -48.3#373 | Artificial Analysis | |
| MMLU-Pro | 69.2%#117 | Vals AI | |
| LegalBench | 79.7%#90 | Vals AI | |
| CorpFin | 46.0%#107 | Vals AI | |
| TaxEval | 61.4%#118 | Vals AI | |
| MedQA | 80.5%#68 | Vals AI | |
| CaseLaw v2not in index | 64.5%#13 | Vals AI | |
| AA-Omniscience: accuracynot in index | 16.4%#391 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 22.7%#262 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| IFBench | 36.5%#300 | Artificial Analysis | |
| Arena Instruction Followingnot in index | 1342#198 | Arena (LMArena) |
Human preference
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Text | 1354#196 | Arena (LMArena) | |
| Arena Creative Writingnot in index | 1336#182 | Arena (LMArena) | |
| Arena Multi-turnnot in index | 1360#185 | Arena (LMArena) | |
| Arena Longer Queriesnot in index | 1370#186 | Arena (LMArena) |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR | 21.3%#427 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Intelligence Index v4.3.2 | 7.0#498 | Artificial Analysis |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Cohere | 39 tok/s | 0.37 s | $2.50 | $10.00 | 256k | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0040 | – | 7.2 s |
| Summarize a 30-page report | 12,000 / 600 | $0.036 | – | 12.7 s |
| Code edit | 6,000 / 1,500 | $0.030 | – | 29.2 s |
| Agentic coding session | 60,000 / 4,000 | $0.190 | – | 1.3 min |
| Structured extraction | 2,000 / 200 | $0.0070 | – | 5.4 s |
See also
Questions people ask
- What are Command A's benchmark scores?
- As of 24 Oct 2026, Command A scores 41.8 ±4.2 on the BenchLeader Index, strongest in human preference (52) and weakest in coding (32). That rests on 20 independent benchmark results, and every score on this page links to its publisher.
- How does Command A rank?
- Command A is #616 of 785 ranked configurations on 24 Oct 2026. 294 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Command A cost per 1M tokens?
- As of 24 Oct 2026, Command A costs $2.50 per 1M input tokens and $10.00 per 1M output tokens, $4.38 blended (three input tokens per output token).
- When was Command A released?
- Cohere released Command A on 13 Mar 2025.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Command A: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/command-a.