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CohereCommand A

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Command A is Cohere's 111B enterprise model for tools, retrieval-augmented generation, agents, and multilingual work.

Token context
256K tokens
Inputs
Text
Outputs
Text
Released
Not reported

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #43 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Command A. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$2.50$10.00——Aug 29, 2026Provider-reported

Benchmarks

All benchmark results →
Aider Polyglotpolyglot-225-5dc9490bb35f12.00percent—225whole; aider 0.77.1.devunknownRecomputedwinner eligibleThird-party benchmark
Berkeley Function Calling Leaderboardv4-ede5081a24bc46.49percent——Command A (FC)unknownRecomputedwinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,330.94rating—55,766command-a-03-2025; 95% CI [1327.49064818, 1334.38717569]; votes 55766; rank 225unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb249.68points1,17550Cohere Command A (03-2025) (no thinking)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
command-a-03-2025
Released
Not reported
Version
Command A
License
Unknown

Capacity

Token context
256K tokens
Maximum output
8K tokens
Total parameters
111B
Active parameters
Unknown
Knowledge cutoff
Jun 1, 2024

Interface and Access

Inputs
Text
Outputs
Text
API available
Yes
Open weights
No
Self-hostable
No
Reasoning
No
Vision
No
Tool calling
Yes
Capabilities
agents, chat, citations, multilingual, rag, structured outputs, tools

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasescommand-a, command-a-03-2025

Explicit Unknowns

  • Release date
  • Architecture
  • Tokenizer

Primary Evidence

Sources and Observation Date

Command A | CohereCohere · observed Aug 29, 2026Command A API pricing | CohereCohere · observed Sep 3, 2026

Comparable Peers

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Questions

Command A FAQs

What is Command A?+

Command A is Cohere's 111B enterprise model for tools, retrieval-augmented generation, agents, and multilingual work. It is developed by Cohere and its current sourced lifecycle status is active.

What inputs and outputs does Command A support?+

Command A's current record lists Text as input and Text as output.

How much context does Command A support?+

The current record lists a 256K-token context window and a maximum output of 8K tokens.

Is Command A available through an API?+

Command A is marked as API-available. The directly sourced provider records currently include Cohere.

How large is Command A?+

The current record lists 111B total parameters and an unknown active parameter count. Its architecture is not reported.

What capabilities and tasks does Command A support?+

Command A's recorded capabilities are agents, chat, citations, multilingual, rag, structured outputs, and tools. Its supported tasks are agents, retrieval, text, and tools.

How much does Command A cost through an API?+

The lowest directly sourced prices currently attached to Command A are $2.50 per million input tokens through Cohere and $10.00 per million output tokens through Cohere. Prices are provider-specific and should be checked against each cited observation date.

Can Command A be self-hosted?+

Command A is not marked as an open-weight model. Self-hosting is marked as unsupported, with no license recorded.

Does Command A have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are command-a and command-a-03-2025.

Which models can Command A be compared with?+

The current compatible peer set includes Command A Plus 05 2026 BF16, ERNIE 5.1, Sonar Pro, Solar Pro 4, and ERNIE X1.1. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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