Context
192K tokens (~96 books)
Input $/1M
$0.30
Output $/1M
$1.50
Type
multimodal
License
Proprietary
Benchmarks
11 tested
Data as of
About
Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...
Tested on 11 benchmarks. Top scores: Artificial Analysis · tau2-Bench Telecom (80.7%), Artificial Analysis · GPQA Diamond (76.1%), Artificial Analysis · IFBench (73.9%).
Capabilities
speed
39.6
#67 globally
Benchmark Scores
Compare AllTested on 11 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
speedCompare speed →
Quick compare:
vs Qwen3 Coder Next FP8
vs Qwen2.5 Coder 32B Instruct AWQ
P
vs Speaker Diarization Community 1 Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Command A+ added
Sep 23, 2026
Links
Research
Documentation
Community
BenchGecko API
command-a-plus
Specifications
- Typemultimodal
- Context192K tokens (~96 books)
- ReleasedSep 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.002
Available On
Categories
Learn More
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Frequently Asked Questions
Command A+ is a proprietary multimodal AI model by Cohere, released in September 2026. Context window: 192K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenKey facts · as of 2026-10-05
- Command A+ by Cohere. Not enough public benchmark scores to rank yet.
- List price $0.30 input · $1.50 output per 1M tokens (as of 2026-10-05).
- Sold by 1 provider (as of 2026-10-05): Cohere $0.30 in / $1.50 out.
How to cite · data as of 2026-10-05
Command A+ · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/command-a-plus
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP