Command A
by Cohere · cohere/command-a · #265 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:41 AM UTC · refreshed hourly
Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$2.50
per 1M tokens
Output
$10.00
per 1M tokens
Blended (3:1)
$4.38
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Command A (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $4.38 | $0.265 | — |
| 50% | $4.38 | $0.265 | −0% |
| 90% | $4.38 | $0.265 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00425 | $4.25 |
| Document summary | 8,000 | 1,000 | $0.03 | $30.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.095 | $95.00 |
| Long-context analysis | 150,000 | 5,000 | $0.425 | $425.00 |
Performance
Intelligence Index
22.5
AA composite quality
Coding Index
27.8
Math Index
—
Agentic Index
9.2
Output speed
177 tok/s
median
Time to first token
0.16s
median
Time to first answer
11.45s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 76.1% |
| Humanity's Last Exam | 11.4% |
| SciCode | 37.8% |
| IFBench | 73.9% |
| AA-LCR (Long Context Reasoning) | 46.0% |
| Terminal-Bench Hard | 25.0% |
| Terminal-Bench 2.1 | 22.8% |
| τ²-Bench (Telecom) | 80.7% |
| τ³-Bench Banking | 5.8% |
Specs
Context window
256K
tokens
Max output
8K
tokens
Input modalities
text
Tokenizer
Other