Command A+
Cohere • text#315 of 668 in intelligence
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...
Specifications
Context Window
192K tokens
Input Price/1M
—
#1 of 806
Output Price/1M
—
Parameters
—
Speed
186 tok/s
#63 of 651
Latency (TTFT)
510ms
Max Output
64K tokens
Benchmarks
Command A+ results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 25.0 | 100.0 | — |
| AA Agentic Index | 1.0 | 100.0 | Artificial Analysis official API |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 38.0 | 100.0 | — |
| AA Coding Index | 27.8 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 46.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 76.0 | 100.0 | Artificial Analysis official API |
| IFBench | 74.0 | 100.0 | — |
| HLE | 11.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 81.0 | 100.0 | — |
Information
- Release date
- May 20, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Command A+
What is Command A+?
Command A+ is an AI model developed by Cohere, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Cohere's cloud API. With a context window of 192K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Command A+ does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Cohere's official website for up-to-date availability and pricing.
Benchmarks & Performance
Command A+ was evaluated on 10 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Command A+ specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Command A+ competes directly with similarly capable models. Cohere competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Command A+?
Command A+ is an AI model developed by Cohere. It is a text model.
How much does Command A+ cost?
Command A+ does not have public per-token pricing available at this time. Check Cohere's official website for up-to-date information.
How does Command A+ compare with other models?
In available benchmarks, Command A+ scored: Terminal-Bench Hard: 25/100, AA Agentic Index: 1/100, SciCode: 38/100. See the full table above for a detailed comparison.
Is Command A+ open source?
No, Command A+ is a proprietary model from Cohere. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Command A+ best for?
Command A+ excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: October 16, 2026 • View methodology →