Command R+ Instruct: pricing, context window and benchmarks
Command R+ Instruct is a multimodal model from Cohere. It offers a 200,000-token context window, costs $4.16 per million input tokens and $17.58 per million output tokens, and averages 76.2 across the index's benchmark suite.
Pricing
Command R+ Instruct costs $4.16 per million input tokens and $17.58 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.51 per million tokens. Cached input is listed at $0.39 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.16 | per 1M tokens |
| Output | $17.58 | per 1M tokens |
| Cached input | $0.39 | per 1M tokens |
| Blended 3:1 | $7.51 | estimate per 1M tokens |
| 1M in + 1M out | $21.74 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.8 | 187 | 69th | |
| GPQA Diamond | 70.5 | 250 | 58th | |
| SWE-bench Verified | 67.5 | 155 | 74th | |
| HumanEval | 81.2 | 208 | 65th | |
| MATH-500 | 82.2 | 159 | 74th | |
| AIME 2025 | 69.3 | 271 | 55th | |
| LiveCodeBench | 67.6 | 233 | 61th | |
| IFEval | 85.5 | 172 | 71th | |
| TruthfulQA | 78.3 | 243 | 60th | |
| HellaSwag | 84.8 | 254 | 58th | |
| MMMU | 71.8 | 249 | 59th | |
| Arena Elo | 1395.7 | 223 | 63th |
What Command R+ Instruct is good for
Command R+ Instruct is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.16 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 | Meta AI | 200000 | $4.16 | 76.3 |
| Command R+ Instruct | Cohere | 200000 | $4.16 | 76.2 |
| Llama 3 Baseten Instruct | Baseten | 200000 | $3.91 | 76.2 |
| Llama 3 Hyperbolic Instruct | Hyperbolic | 200000 | $3.79 | 76.2 |
| Sonar Reasoning | Perplexity | 200000 | $11.48 | 76.2 |
| o3 Mini | OpenAI | 128000 | $10.68 | 76.2 |
FAQ
How much does Command R+ Instruct cost?
Command R+ Instruct is listed at $4.16 per million input tokens and $17.58 per million output tokens. Cached input is $0.39 per million tokens. A blended 3:1 input-to-output mix is about $7.51 per million tokens.
What is the context window of Command R+ Instruct?
Command R+ Instruct has a context window of 200,000 tokens and can emit up to 65,536 output tokens per request in this index.
Is Command R+ Instruct open weights?
Yes. Command R+ Instruct is listed as an open-weight model under a open weights licence.
How does Command R+ Instruct score on benchmarks?
Command R+ Instruct averages 76.2 across the scored benchmarks in this index, ranking #213 of 600 models. Its strongest relative result is Arena Elo at 1395.7.
What is Command R+ Instruct best for?
Command R+ Instruct is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.16 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.