Command R+: pricing, context window and benchmarks
Command R+ is a multimodal model from Cohere. It offers a 32,768-token context window, costs $3.96 per million input tokens and $20.08 per million output tokens, and averages 76.3 across the index's benchmark suite.
Pricing
Command R+ costs $3.96 per million input tokens and $20.08 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.99 per million tokens. Cached input is listed at $0.51 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.96 | per 1M tokens |
| Output | $20.08 | per 1M tokens |
| Cached input | $0.51 | per 1M tokens |
| Blended 3:1 | $7.99 | estimate per 1M tokens |
| 1M in + 1M out | $24.04 | 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 | 78.9 | 210 | 65th | |
| GPQA Diamond | 70.5 | 249 | 59th | |
| SWE-bench Verified | 63.9 | 233 | 61th | |
| HumanEval | 79.4 | 250 | 58th | |
| MATH-500 | 79.0 | 233 | 61th | |
| AIME 2025 | 74.9 | 155 | 74th | |
| LiveCodeBench | 70.8 | 174 | 71th | |
| IFEval | 85.0 | 190 | 68th | |
| TruthfulQA | 79.0 | 214 | 64th | |
| HellaSwag | 86.4 | 198 | 67th | |
| MMMU | 71.5 | 254 | 58th | |
| Arena Elo | 1405.1 | 193 | 68th |
What Command R+ is good for
Command R+ is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.96 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.96 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
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 |
|---|---|---|---|---|
| Command R+ | Cohere | 32768 | $3.96 | 76.3 |
| 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 |
| o3 Mini | OpenAI | 128000 | $10.68 | 76.2 |
FAQ
How much does Command R+ cost?
Command R+ is listed at $3.96 per million input tokens and $20.08 per million output tokens. Cached input is $0.51 per million tokens. A blended 3:1 input-to-output mix is about $7.99 per million tokens.
What is the context window of Command R+?
Command R+ has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Command R+ open weights?
Yes. Command R+ is listed as an open-weight model under a open weights licence.
How does Command R+ score on benchmarks?
Command R+ averages 76.3 across the scored benchmarks in this index, ranking #211 of 600 models. Its strongest relative result is Arena Elo at 1405.1.
What is Command R+ best for?
Command R+ is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.96 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.