Command R+ vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •Mistral Large leads on 1 of 1 shared benchmarks, including MMLU (84.0% vs ~75%).
- •Mistral Large is meaningfully stronger at multimodal (65 vs 5).
Specs comparison
| Command R+ | Mistral Large | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Type | Closed source | Closed source |
| Context window | 128K tokens | 128000 |
| Input / 1M tokens | $2.50 | ✓2.00 |
| Output / 1M tokens | $10.00 | 6.00 |
| Release date | 2024-08 | 2024-02 |
Benchmarks
| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | ✓84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Command R+ if...
- →Your core use case is grounded RAG with citations
- →You need reliable multi-step tool/agent orchestration
- →You want an enterprise model available on Bedrock
- →You need multilingual responses across the 10 optimized languages
Choose Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty