High confidence
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...
51
Score Trend
14-day history
API Pricing
$2.5/M in
$10/M out
Context Window
256.0K
8.2K max output
#226range #207-#245Top 60%
#1#378
Signal Overview
Score Breakdown
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Benchmarksjust now | 51 | 30% | +15.3 |
| Pricingjust now | 90 | 15% | +13.5 |
| Context Windowjust now | 86 | 10% | +8.6 |
| Capabilitiesjust now | 33 | 20% | +6.7 |
| Output Capacityjust now | 65 | 10% | +6.5 |
| Recencyjust now | 40 | 15% | +5.9 |
Benchmark Performance
Benchmark Scores(1 benchmarks + Arena Elo)
LMSYS Arena Elo
1261
Percentile
60.2
Weight
30%
Capabilities
Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output
Modalities
Input
text
Output
text
Recent Cohere releases
View this model against the provider’s recent shipping cadence.
Reviews
Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.
Reviews
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Frequently Asked Questions
Command A by Cohere excels in the Coding category, where it ranks #226 with a composite score of 51/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
Command A is priced at $2.50 per million input tokens and $10.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, Command A holds rank #226 out of 378 models tracked. Its quality rank is #226 and adoption rank is #226. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Command A has been evaluated across 6 different signals. Its strongest areas include Capabilities (33/100), Benchmarks (51/100), Pricing (90/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 51/100 reflects a weighted combination of all tracked signals.
Command A is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Cohere's website for current free tier availability and promotional offers.
Command A supports a 256K token context window (256,000 tokens total). That translates to roughly 192,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.
Command A can generate up to 8K output tokens (8,192 tokens) per response. That is roughly 6,144 words. Sufficient for typical conversations, code snippets, and summaries.
Command A supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.
Yes, Command A is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.
Command A was developed by Cohere. It was released on March 13, 2025. You can access it through Cohere's API or download the model weights directly. Check our provider page for all models from Cohere and how they compare against each other.
Pick Command A when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Command A through Cohere's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.
Key Info
ProviderCohere
CategoryCoding
Max Output8.2K tokens
LicenseOpen Source
Statusstable
HuggingFacec4ai-command-a-03-2025
Benchmark Scores(1 benchmarks + Arena Elo)
LMSYS Arena Elo
1261
Percentile
60.2
Weight
30%
Data updated: Aug 8, 2026Benchmarks: Aug 8, 2026Status: Aug 8, 2026
Pricing Tools
Pricingper 1M tokens
9% cheaper than category average
Input
$2.50
-1% vs avg
Output
$10.00
-16% vs avg
Cost Estimator
Input: 70%Output: 30%
Est. monthly cost$47.50
Category average$53.52
You save $6.02/month vs category average
Access & Availability
Why This Rank
~Benchmarks
+Pricing
+Context Window
-Capabilities