Command R+ 8B: pricing, context window and benchmarks
Command R+ 8B is a small open-weight model from Cohere. It offers a 8,192-token context window, costs $1.21 per million input tokens and $5.69 per million output tokens, and averages 57.7 across the index's benchmark suite.
Pricing
Command R+ 8B costs $1.21 per million input tokens and $5.69 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.33 per million tokens. Cached input is listed at $0.10 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.21 | per 1M tokens |
| Output | $5.69 | per 1M tokens |
| Cached input | $0.10 | per 1M tokens |
| Blended 3:1 | $2.33 | estimate per 1M tokens |
| 1M in + 1M out | $6.90 | 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 | 62.6 | 492 | 18th | |
| GPQA Diamond | 55.1 | 462 | 23th | |
| SWE-bench Verified | 42.7 | 493 | 18th | |
| HumanEval | 61.3 | 477 | 21th | |
| MATH-500 | 57.8 | 494 | 18th | |
| AIME 2025 | 46.4 | 484 | 19th | |
| LiveCodeBench | 43.5 | 511 | 15th | |
| IFEval | 70.1 | 458 | 24th | |
| TruthfulQA | 63.4 | 483 | 20th | |
| HellaSwag | 74.1 | 454 | 24th | |
| MMMU | 57.7 | 460 | 23th | |
| Arena Elo | 1255.3 | 482 | 20th |
What Command R+ 8B is good for
Command R+ 8B 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 $1.21 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.21 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 |
|---|---|---|---|---|
| Nemotron 4 8B | NVIDIA | 4096 | $1.06 | 57.9 |
| Llama 3.3 7B | Meta AI | 8192 | $1.18 | 57.8 |
| Command R+ 8B | Cohere | 8192 | $1.21 | 57.7 |
| Hunyuan-Large 7B | Tencent | 32768 | $1.08 | 57.7 |
| MiniMax-Text 7B | MiniMax | 16384 | $1.10 | 57.7 |
| Llama 3.1 7B | Meta AI | 8192 | $1.01 | 57.4 |
FAQ
How much does Command R+ 8B cost?
Command R+ 8B is listed at $1.21 per million input tokens and $5.69 per million output tokens. Cached input is $0.10 per million tokens. A blended 3:1 input-to-output mix is about $2.33 per million tokens.
What is the context window of Command R+ 8B?
Command R+ 8B 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+ 8B open weights?
Yes. Command R+ 8B is listed as an open-weight model under a open weights licence.
How does Command R+ 8B score on benchmarks?
Command R+ 8B averages 57.7 across the scored benchmarks in this index, ranking #476 of 600 models. Its strongest relative result is Arena Elo at 1255.3.
What is Command R+ 8B best for?
Command R+ 8B 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 $1.21 per million input tokens it can handle a large share of production traffic.