Command A+
Cohere’s first open MoE model combines frontier-level performance with self-hosting: of 218 billion total parameters, only 25 billion are active per token, the context window spans 128,000 tokens, and the model processes both text and image inputs. Released under the Apache 2.0 license out of Canada, with no vendor lock-in and no restricted weights.
- Open Weights
- Frontier
- Cohere
- Text
- Vision
- Multilingual
- Long Context
- Real-Time
Sovereign Risk: LOW Cohere is a Canadian provider (Toronto). Command A+ is licensed under Apache 2.0 and available as an Open Weights model on Hugging Face. No US jurisdiction, no proprietary Restricted Weights risk. Weights are freely downloadable and self-hostable.
Key metrics
Score · Latency · Cost · Quality
- Total Score Bronze
- 61.9
- Routine
- 38.4
- Reasoning
- 23.5
- LLM Judge Avg
- 3.67 / 5
- 100 Coverage
- Avg Task Duration
- 11.2s
- Real-Time
- Token Rate
- 76.49tok/s
- Output Rate
- P95 Latency
- 36.08s
- Top 5 %
- Total Tokens
- 48300
- Output Volume
- Cost per 1K
- Tested locally
- USD / 1K Requests
- Benchmark Cost
- Tested locally
- Total · 48300 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Command A+
Best model
Ø All models
Code Quality
69
CLI Benchmark
93
Logical Reasoning
72.82
UX Writing
62.63
Documentation
70.25
Content Transform.
74.67
Cultural Intelligence
68.36
Synthesis Quality
13.33
Tool Execution
0
ToolUse Score
6
Benchmark Cost
Tested locally
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.