Cohere, open weights

# Command R+

> Command R+ by Cohere, released August 2024. Ranked #257 of 354 with a Noometry Index of 32.4. API: $2.50 in / $10 out per M tokens. 128K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/command-r-plus
- Last updated: 2026-10-10
- Title: Command R+ Benchmarks, Price & Rank (October 2026)

Command R+ by Cohere ranks 257th of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.4. Its strongest category is knowledge, where it ranks 169th. API pricing starts at $2.50 per million input tokens and $10 per million output tokens, with a 128K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #257 of 354
- **Index score:** 32.4
- **Evidence:** Confirmed 34 results
- **Provider:** [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere)
- **Released:** August 30, 2024
- **Weights:** Open weights
- **Reasoning:** No
- **Context window:** 128K
- **Max output:** 4K
- **Input price:** $2.50 / M
- **Output price:** $10 / M
- **Blended price:** $4.38 / M
- **Output speed:** Not measured
- **Value:** #195 of 219
- **Knowledge cutoff:** June 2024
- **Input:** text

## Category scores

Each category score combines every public result we have in that category.

Command R+ category scores

1.  Coding 29.1
2.  Reasoning 9.2
3.  Math 28.9
4.  Knowledge 36.4
5.  Multilingual 38.6
6.  Instruction Following 60.0
7.  Long Context 37.3
8.  Writing & Preference 43.5
9.  0204060

Command R+ category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 29.1 | #309 | 4 |
| [Reasoning](https://noometry.com/best/reasoning) | 9.2 | #344 | 6 |
| [Math](https://noometry.com/best/math) | 28.9 | #242 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 36.4 | #169 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 38.6 | #227 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 60.0 | #254 | 2 |
| [Long Context](https://noometry.com/best/long-context) | 37.3 | #219 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 43.5 | #228 | 4 |

## Strengths and weaknesses

Categories where Command R+ places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Command R+: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 36.4 | −0.9 | #169 of 314, top 54% |
| [Writing & Preference](https://noometry.com/best/writing) | 43.5 | −10.3 | #228 of 312, top 74% |
| [Long Context](https://noometry.com/best/long-context) | 37.3 | −3.6 | #219 of 296, top 74% |

### Weakest categories

Command R+: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 9.2 | −14.4 | #344 of 350, top 99% |
| [Coding](https://noometry.com/best/coding) | 29.1 | −9.6 | #309 of 340, top 91% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 60.0 | −11.3 | #254 of 305, top 84% |

## Closest competitors

The models ranked just above and below Command R+. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Command R+
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen1.5-14B](https://noometry.com/models/qwen1-5-14b) | #253 | 32.7 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-qwen1-5-14b) |
| [Olmo 2 0325 32b Instruct](https://noometry.com/models/olmo-2-0325-32b-instruct) | #254 | 32.7 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-olmo-2-0325-32b-instruct) |
| [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | #255 | 32.5 | $0.036 | 96 | [Compare](https://noometry.com/compare/command-r-plus-vs-gpt-oss-20b) |
| [Laguna M.1](https://noometry.com/models/laguna-m-1) | #256 | 32.5 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-laguna-m-1) |
| [Granite 3.1 8b Instruct](https://noometry.com/models/granite-3-1-8b-instruct) | #258 | 32.4 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-granite-3-1-8b-instruct) |
| [Pixtral Large](https://noometry.com/models/pixtral-large) | #259 | 32.2 | $3 | — | [Compare](https://noometry.com/compare/command-r-plus-vs-pixtral-large) |
| [Falcon-180B](https://noometry.com/models/falcon-180b) | #260 | 32.2 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-falcon-180b) |
| [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) | #261 | 32.1 | — | — | [Compare](https://noometry.com/compare/command-r-plus-vs-gemini-1-5-pro) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Command R+ Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BigCodeBench Instruct](https://noometry.com/benchmarks/bigcodebench-instruct) | 33.8% | #49 of 64, top 77% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-04 |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 19.1% | #36 of 39, top 93% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1187 | #245 of 294, top 84% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1172 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [BigCodeBench Complete](https://noometry.com/benchmarks/bigcodebench-complete) | 41.9% | #49 of 66, top 75% |  | [BigCodeBench](https://bigcode-bench.github.io/) | 2024-04-04 |
| [HumanEval+](https://noometry.com/benchmarks/humaneval-plus) | 56.7% | #31 of 45, top 69% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |
| [MBPP+](https://noometry.com/benchmarks/mbpp-plus) | 63.5% | #21 of 38, top 56% |  | [EvalPlus](https://evalplus.github.io/leaderboard.html) |  |

### Reasoning

Command R+ Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 17.4% | #76 of 77, top 99% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 24.8% | #35 of 39, top 90% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1186 | #244 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1166 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 54.9% | #123 of 151, top 82% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 38.1% | #31 of 39, top 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 5% | #123 of 125, top 99% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 119.34 | #171 of 213, top 81% |  | [Epoch AI](https://epoch.ai/eci) | 2024-08-30 |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 31.8% | #33 of 39, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Command R+ Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 21.3% | #34 of 39, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1164 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1188 | #236 of 285, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Command R+ Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 6.9% | #26 of 96, top 28% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1174 | #227 of 273, top 84% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1153 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 69.4% | #47 of 81, top 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Command R+ Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1190 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1216 | #227 of 297, top 77% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1226 | #220 of 285, top 78% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1191 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1209 | #191 of 223, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1195 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1216 | #187 of 231, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1166 | #170 of 211, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1155 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1138 | #184 of 213, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1227 | #223 of 283, top 79% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1206 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1189 | #197 of 226, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Command R+ Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 57.6% | #31 of 39, top 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1197 | #238 of 298, top 80% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1180 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Command R+ Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1230 | #230 of 291, top 80% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1202 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Command R+ Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1204 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1229 | #231 of 297, top 78% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1235 | #218 of 295, top 74% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1201 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1192 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1213 | #235 of 295, top 80% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 29.7% | #27 of 39, top 70% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## API pricing by provider

Command R+ API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [cohere](https://docs.cohere.com/docs/models) | $2.50 | $10 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/cohere/command-r-plus-08-2024) | $2.50 | $10 | — | 2026-10-10 |

[All Cohere API prices →](https://noometry.com/llm-pricing/cohere) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Command R+

-   [Command R+ vs Laguna M.1](https://noometry.com/compare/command-r-plus-vs-laguna-m-1)
-   [Command R+ vs Granite 3.1 8b Instruct](https://noometry.com/compare/command-r-plus-vs-granite-3-1-8b-instruct)
-   [Command R+ vs gpt-oss-20b](https://noometry.com/compare/command-r-plus-vs-gpt-oss-20b)
-   [Command R+ vs Pixtral Large](https://noometry.com/compare/command-r-plus-vs-pixtral-large)
-   [Command R+ vs Olmo 2 0325 32b Instruct](https://noometry.com/compare/command-r-plus-vs-olmo-2-0325-32b-instruct)
-   [Command R+ vs Falcon-180B](https://noometry.com/compare/command-r-plus-vs-falcon-180b)
-   [Command R+ vs GPT-6 Astra](https://noometry.com/compare/command-r-plus-vs-gpt-6-astra)
-   [Command R+ vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-command-r-plus)
-   [Command R+ vs Gemini 3.8 Flash](https://noometry.com/compare/command-r-plus-vs-gemini-3-8-flash)
-   [Command R+ vs Kimi K3](https://noometry.com/compare/command-r-plus-vs-kimi-k3)
-   [Command R+ vs Grok 4.6](https://noometry.com/compare/command-r-plus-vs-grok-4-6)
-   [Command R+ vs Qwen3.8 Max](https://noometry.com/compare/command-r-plus-vs-qwen3-8-max)
-   [Command R+ vs GLM-5.3](https://noometry.com/compare/command-r-plus-vs-glm-5-3)
-   [Command R+ vs Muse Spark 1.3](https://noometry.com/compare/command-r-plus-vs-muse-spark-1-3)

## Other Cohere models

-   [Command A](https://noometry.com/models/command-a)36.5
-   [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b)35.9
-   [C4ai Aya Expanse 8b](https://noometry.com/models/c4ai-aya-expanse-8b)34.9
-   [Command R](https://noometry.com/models/command-r)31.4
-   [Command A Plus](https://noometry.com/models/command-a-plus)
-   [Command A Translate](https://noometry.com/models/command-a-translate)
-   [Command A Vision](https://noometry.com/models/command-a-vision)
-   [Command R7B](https://noometry.com/models/command-r7b)

## Frequently asked questions

### How good is Command R+?

Command R+ by Cohere ranks 257th of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.4. Its strongest category is knowledge, where it ranks 169th. API pricing starts at $2.50 per million input tokens and $10 per million output tokens, with a 128K-token context window.

### How much does Command R+ cost?

Command R+ costs $2.50 per million input tokens and $10 per million output tokens on Cohere's own API.

### What is Command R+'s context window?

Command R+ accepts up to 128K tokens of input and can write up to 4K tokens in one response.

### Is Command R+ open source?

Yes. Command R+'s weights are downloadable; check the license for commercial terms.

### What are Command R+'s strengths and weaknesses?

Relative to other ranked models, Command R+ places best in knowledge, writing & preference, long context and lowest in reasoning, coding, instruction following.

### What is Command R+ best at?

Its best category is knowledge, where it ranks 169th on Noometry.

### Cite this page

Noometry. (2026). Command R+ benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/command-r-plus

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/command-r-plus.md).