Mistral Large 4 vs Open Mistral Nemo 2407
| Benchmark | Mistral Large 4 | Open Mistral Nemo 2407 |
|---|---|---|
| Humanity's Last Exam | 35 | — |
| Terminal-Bench 4.0 | 26.8 | — |
| AutomationBench-AA | 59.9 | — |
| MMMU-Pro (vision) | 76.4 | — |
Specs
| Spec | Mistral Large 4 | Open Mistral Nemo 2407 |
|---|---|---|
| Input, per 1M | $1.36 | — |
| Output, per 1M | $4.18 | — |
| Cost per task? | $1.61 | — |
| Speed, tok/s | 115 | — |
| Context | 1M | — |
| Weights | Closed | Not verified |
| Released | Oct 2026 | — |
| See images | ✓ | ? |
| Read PDFs | ✓ | ? |
| Hear audio | — | ? |
| Watch video | — | ? |
| Call tools | ✓ | ? |
| Force a tool call | Partial | ? |
| Return strict JSON | ✓ | ? |
| Search the web | ? | ? |
| Run code | ? | ? |
| Use a computer | ? | ? |
What breaks when you switch
Mistral Large 4 → Open Mistral Nemo 2407
Context: not verified
Open Mistral Nemo 2407 → Mistral Large 4
Infinite whitespace stream›
In JSON Object mode, include JSON in the system or user prompt to avoid a possible infinite whitespace stream.
Content is a list of chunks›
With reasoning_effort high, message.content is a chunk list rather than a plain string; parse thinking and text chunks.
Only function calling · Mistral regional endpoints›
Regional endpoints support function calling only and omit Agents, Batch and Files; check regional model availability before routing requests.
10% upcharge · Mistral regional endpoints›
Regional inference charges 1.1× standard list prices for input, output, cached reads and cache writes.
Reinforcement learning run still in flight›
The public preview reinforcement learning run is still in flight, and Mistral expects further rapid changes as training scales.