Command A vs Command A Translate
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Command A | Command A Translate |
|---|---|---|
| Developer | Cohere | Cohere |
| Family | Command A | Command A |
| Model | Command A | Command A Translate |
| Version | Command A | Command A Translate |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-28 |
| Knowledge cutoff | 2024-06-01 | 2024-06-01 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 256,000 | 8,000 |
| Total parameters | 111,000,000,000 | 111,000,000,000 |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | Cohere (Standard) |
| Capabilities | agents, chat, citations, multilingual, rag, structured_outputs, tools | chat, generation, structured_outputs, translation |
15 comparable fields · 4 material differences · Pair passes the primary-source comparison gate
Command A Capabilities
Command A Translate Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Command ACohere | vs | Command A ReasoningCohere | family variantstext |
Command A ReasoningCohere | vs | Command A TranslateCohere | family variantstext |
Command ACohere | vs | Command A VisionCohere | family variantstext |
| vs | Command ACohere | family variantstext | |
 ERNIE 5.1Baidu | vs | Command ACohere | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Command ACohere | cross-developer peerstext |
| vs | Command A TranslateCohere | family variantstext | |
Command A TranslateCohere | vs | Command A VisionCohere | family variantstext |
Command ACohere | vs |  Antigravity AgentGoogle DeepMind | cross-developer peerstext |
Command ACohere | vs | cross-developer peerstext | |
Command A TranslateCohere | vs |  Muse Glimmer 30BMeta | cross-developer peerstext |
Command A TranslateCohere | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A vs Command A Translate FAQs
Is Command A or Command A Translate better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A and Command A Translate, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A or Command A Translate?+
Only Command A has a directly sourced input price: $2.50 per million tokens. Only Command A has a directly sourced output price: $10.00 per million tokens.
Which has a larger context window, Command A or Command A Translate?+
Command A has the larger sourced context window. Command A supports 256,000 and Command A Translate supports 8,000.
Which performs better in benchmarks, Command A or Command A Translate?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Command A or Command A Translate be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Command A is not marked open weight; Command A Translate is not marked open weight.
Can Command A and Command A Translate understand images?+
Command A is not documented with image input; Command A Translate is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A or Command A Translate?+
Neither has a larger sourced maximum output. Command A is 8,000 and Command A Translate is 8,000.
Do Command A and Command A Translate support reasoning and tool use?+
Command A: tool calling. Command A Translate: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Command A or Command A Translate?+
Command A has 1 sourced provider route; Command A Translate has 1, a tie.
Which offers better value, Command A or Command A Translate?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.