Command R+ 7B: pricing, context window and benchmarks
Command R+ 7B is a small open-weight model from Cohere. It offers a 8,192-token context window, costs $0.95 per million input tokens and $4.04 per million output tokens, and averages 56.2 across the index's benchmark suite.
Pricing
Command R+ 7B costs $0.95 per million input tokens and $4.04 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.72 per million tokens. Cached input is listed at $0.08 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.95 | per 1M tokens |
| Output | $4.04 | per 1M tokens |
| Cached input | $0.08 | per 1M tokens |
| Blended 3:1 | $1.72 | estimate per 1M tokens |
| 1M in + 1M out | $4.99 | 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 | 61.5 | 507 | 16th | |
| GPQA Diamond | 49.7 | 528 | 12th | |
| SWE-bench Verified | 43.9 | 480 | 20th | |
| HumanEval | 58.6 | 515 | 14th | |
| MATH-500 | 59.0 | 476 | 21th | |
| AIME 2025 | 44.9 | 498 | 17th | |
| LiveCodeBench | 44.8 | 500 | 17th | |
| IFEval | 67.9 | 490 | 18th | |
| TruthfulQA | 63.7 | 474 | 21th | |
| HellaSwag | 71.1 | 517 | 14th | |
| MMMU | 53.3 | 516 | 14th | |
| Arena Elo | 1243.3 | 501 | 17th |
What Command R+ 7B is good for
Command R+ 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.95 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.95 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 8,192 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 Turbo 7B | Together AI | 8192 | $0.98 | 56.4 |
| Llama 3 Novita 7B | Novita AI | 8192 | $0.92 | 56.3 |
| Command R+ 7B | Cohere | 8192 | $0.95 | 56.2 |
| Llama 3 Anyscale 7B | Anyscale | 4096 | $0.98 | 56.2 |
| Yi-Large 8B | 01.AI | 32768 | $0.88 | 56.1 |
| Llama 3 Replicate 7B | Replicate | 32768 | $0.91 | 56.0 |
FAQ
How much does Command R+ 7B cost?
Command R+ 7B is listed at $0.95 per million input tokens and $4.04 per million output tokens. Cached input is $0.084 per million tokens. A blended 3:1 input-to-output mix is about $1.72 per million tokens.
What is the context window of Command R+ 7B?
Command R+ 7B has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Command R+ 7B open weights?
Yes. Command R+ 7B is listed as an open-weight model under a open weights licence.
How does Command R+ 7B score on benchmarks?
Command R+ 7B averages 56.2 across the scored benchmarks in this index, ranking #502 of 600 models. Its strongest relative result is Arena Elo at 1243.3.
What is Command R+ 7B best for?
Command R+ 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.95 per million input tokens it can handle a large share of production traffic.