Command A
Not tested yet
Language modelActive
Command A
Cohere
- Released
- March 2025
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Speed
- 65.8 tokens/sOutput throughput
- Price
- Input · Output / 1M tokens
- Input
- Text
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-12 of 26. Page 1 of 3.
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
MMLU (Show measurement, test conditions, and source)
- Source value
- 85.5
- Score
- 85.5
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:0
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
MMLU-Pro (Show measurement, test conditions, and source)
- Source value
- 69.6
- Score
- 69.6
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:1
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
GPQA (Show measurement, test conditions, and source)
- Source value
- 50.8
- Score
- 50.8
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:2
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
IFEval (Show measurement, test conditions, and source)
- Source value
- 90.9
- Score
- 90.9
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:3
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
InFoBench (Show measurement, test conditions, and source)
- Source value
- 94.9
- Score
- 94.9
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:4
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
MATH (Show measurement, test conditions, and source)
- Source value
- 80
- Score
- 80
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:5
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
BFCL (Show measurement, test conditions, and source)
- Source value
- 63.8
- Score
- 63.8
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:6
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
MBPP+ (Show measurement, test conditions, and source)
- Source value
- 86.2
- Score
- 86.2
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:7
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
Bird-SQL (Show measurement, test conditions, and source)
- Source value
- 59.5
- Score
- 59.5
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:8
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
RepoQA (Show measurement, test conditions, and source)
- Source value
- 92.6
- Score
- 92.6
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:9
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
NTREX (Show measurement, test conditions, and source)
- Source value
- 68.8
- Score
- 68.8
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:10
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
ChatRAGBench (Show measurement, test conditions, and source)
- Source value
- 72.9
- Score
- 72.9
- Metric
- percent
- Unit
- %
- Category
- academic/code/enterprise
- Direction
- Higher is better
- Comparison cohort
- research:command-a:11
- Source type
- vendor-reported
- Evaluator
- Cohere Command A technical report
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Table 3/1; report default or dataset-specific settings
- Context
- Official report; exact shots/metrics are documented in Appendix B.7 and each table.
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
- License
- CC-BY-NC-4.0Source
- Release
- 2025-03-13Source
- API model ID
- command-a-03-2025Source
- Parameters
- 111 BSource
- Architecture
- auto-regressive transformerSource
- Context window
- 256,000 tokens (HF card notes its config is 128K despite the supported 256K context.)Source
- Maximum output
- 8,000 tokensSource
- Input
- TextSource
- Output
- TextSource
- Languages
- 23Source
- Knowledge cutoff
- 2024-06-01Source
- Tool calling
- YesSource
- Structured output
- YesSource
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.75
100 requests with 1,000 input and 500 output tokens each calculate to $0.75. Input accounts for $0.25; output accounts for $0.5.
- Input price
- $2.5 / 1M tokensBase tier for each request
- Output price
- $10 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
There are no published direct comparisons for this model yet.
More models
Models from the same selection
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Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Speed
Cohere. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 5 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Not found in the inspected sources
training-tokens. The checked docs, launch post, card and technical report do not publish a total training-token count.
- Context window data (retrieved September 8, 2026)Source
- Cohere Command A technical report (retrieved September 8, 2026)Source
- Artificial Analysis (retrieved September 8, 2026)Source
- Model metadata (retrieved September 8, 2026)Source
- Model metadata (retrieved September 8, 2026)Source
- Speed measurement methodologySource