Command R+ vs Mistral Large 2407
Mistral Large 2407 comes out ahead, 28 to 25 on our weighted score, and it is the cheaper option too.
CohereCommand R+
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
Mistral AIMistral Large 2407
28/100- ECI127.6
- Price$2.00 / $6.00
- Context131K
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Make it a three-way comparison.
Mistral Large 2407 is our pick
Mistral Large 2407 is the better all-round choice, scoring 28/100 against Command R+ (25). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMistral Large 2407Mistral Large 2407 $3.00 · Command R+ $4.38 per 1M tokens (3:1 blend)
- Longest contextMistral Large 2407Mistral Large 2407 131,072 · Command R+ 128,000 tokens
- Widest inputsMistral Large 2407Command R+: Text · Mistral Large 2407: Text, PDFs
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command R+ | Mistral Large 2407 |
|---|---|---|---|
| Price | 50% | 19 | 26 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 24 | 25 |
| Overall | 100% | 25/100 | 28/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Command R+Cohere | Mistral Large 2407Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 127.6 |
| ECI rank | — | #144 of 165 |
| GPQA DiamondGraduate-level science questions | — | 49.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 8.5% |
| Price per million tokens | ||
| Input | $2.50 | $2.00 (best) |
| Output | $10.00 | $6.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $4.38 | $3.00 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 5 providers |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 4,000 tokens | 104,857 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | command-r-plus-08-2024 | — |
| API providers | 8 (best) | 5 |
| Released | Aug 30, 2024 | Jul 24, 2024 |
| Knowledge cutoff | Jun 1, 2024 | Mar 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command R+$45.00
- Mistral Large 2407$32.00
Which should you choose?
Which is better: Command R+ or Mistral Large 2407?
Mistral Large 2407 is the better all-round choice, scoring 28/100 against Command R+ (25). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Command R+ or Mistral Large 2407?
Mistral Large 2407 is cheaper at $2.00 input / $6.00 output per million tokens (median across 5 API providers). Command R+ costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2407 versus $4.38 for Command R+ (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Command R+ has not been scored yet and Mistral Large 2407 has an ECI of 127.6.
Which is better for coding?
There are no published SWE-bench Verified results for Command R+ and Mistral Large 2407 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for Command R+. Maximum output per response: Command R+ up to 4,000, Mistral Large 2407 up to 104,857 tokens.
Which can read images, PDFs, audio or video?
Command R+ accepts text; Mistral Large 2407 accepts text and PDFs. Mistral Large 2407 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Command R+ is the newest, released Aug 30, 2024. Mistral Large 2407 came out Jul 24, 2024. Knowledge cutoff: Command R+ Jun 1, 2024, Mistral Large 2407 Mar 31, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
