Cohere · multimodal · Released 2024-12-17

Command R+ Chat: pricing, context window and benchmarks

Command R+ Chat is a multimodal model from Cohere. It offers a 32,768-token context window, costs $4.02 per million input tokens and $15.33 per million output tokens, and averages 76.0 across the index's benchmark suite.

visionopen weightsmultimodal
Input price
$4.02
per 1M tokens
Output price
$15.33
per 1M tokens
Context
32,768
tokens
Avg score
76.0
rank #220 of 600
Arena Elo
1401.9
modelled
Max output
32,768
tokens

Pricing

Command R+ Chat costs $4.02 per million input tokens and $15.33 per million output tokens. A blended 3:1 input-to-output mix works out to about $6.85 per million tokens. Cached input is listed at $0.57 per million tokens.

ItemPriceNotes
Input$4.02per 1M tokens
Output$15.33per 1M tokens
Cached input$0.57per 1M tokens
Blended 3:1$6.85estimate per 1M tokens
1M in + 1M out$19.35estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.9 149 75th
GPQA Diamond 70.0 261 57th
SWE-bench Verified 66.7 175 71th
HumanEval 82.5 172 71th
MATH-500 76.7 287 52th
AIME 2025 72.3 210 65th
LiveCodeBench 71.1 167 72th
IFEval 82.0 277 54th
TruthfulQA 79.5 200 67th
HellaSwag 84.9 249 59th
MMMU 69.8 309 49th
Arena Elo 1401.9 204 66th

What Command R+ Chat is good for

Command R+ Chat 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 $4.02 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

  • 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

ModelProviderContextInput / 1MAvg score
Command R+ Chat Cohere 32768 $4.02 76.0
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
Sonar Perplexity 200000 $10.57 76.0

Browse all comparisons →

FAQ

How much does Command R+ Chat cost?

Command R+ Chat is listed at $4.02 per million input tokens and $15.33 per million output tokens. Cached input is $0.57 per million tokens. A blended 3:1 input-to-output mix is about $6.85 per million tokens.

What is the context window of Command R+ Chat?

Command R+ Chat 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+ Chat open weights?

Yes. Command R+ Chat is listed as an open-weight model under a open weights licence.

How does Command R+ Chat score on benchmarks?

Command R+ Chat averages 76.0 across the scored benchmarks in this index, ranking #220 of 600 models. Its strongest relative result is Arena Elo at 1401.9.

What is Command R+ Chat best for?

Command R+ Chat 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 $4.02 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.

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