Command A Reasoning vs Command A Translate

Why this pair: Cohere's specialized translation and reasoning Command A models

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Cohere · activeCommand A ReasoningVerified Sep 3, 2026
Cohere · activeCommand A TranslateVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

CuratedIndexable
FieldCommand A ReasoningCommand A Translate
DeveloperCohereCohere
FamilyCommand ACommand A
ModelCommand A ReasoningCommand A Translate
VersionCommand A ReasoningCommand A Translate
Lifecycleactiveactive
Released2025-08-212025-08-28
Knowledge cutoff2024-06-012024-06-01
Input modalitiesTextText
Output modalitiesTextText
Context window256K8K
Total parameters111B111B
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessCohere (Standard)Cohere (Standard)
Capabilitiesagents, chat, citations, reasoning, rag, structured_outputs, toolschat, generation, structured_outputs, translation

16 comparable fields · 5 material differences · Editorially curated pair passes the primary-source comparison gate

Command A Reasoning Capabilities

agentschatcitationsreasoningragstructured outputstools
Input price
Output price
Serving providers1
Canonical IDcoherelabs/command-a-reasoning-08-2025

Command A Translate Capabilities

chatgenerationstructured outputstranslation
Input price
Output price
Serving providers1
Canonical IDcoherelabs/command-a-translate-08-2025

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs Command A Translate FAQs

Is Command A Reasoning or Command A Translate better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning 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 Reasoning or Command A Translate?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Command A Reasoning or Command A Translate?+

Command A Reasoning has the larger sourced context window. Command A Reasoning supports 256K and Command A Translate supports 8K.

Which performs better in benchmarks, Command A Reasoning 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 Reasoning or Command A Translate be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Command A Reasoning is not marked open weight; Command A Translate is not marked open weight.

Can Command A Reasoning and Command A Translate understand images?+

Command A Reasoning 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 Reasoning or Command A Translate?+

Command A Reasoning has the larger sourced maximum output: Command A Reasoning supports 32K and Command A Translate supports 8K output tokens.

Do Command A Reasoning and Command A Translate support reasoning and tool use?+

Command A Reasoning: reasoning and 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 Reasoning or Command A Translate?+

Command A Reasoning has 1 sourced provider route; Command A Translate has 1, a tie.

Which offers better value, Command A Reasoning 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.

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