Mistral Large 4 vs Mistral Medium 3.5
| Benchmark | Mistral Large 4 | Mistral Medium 3.5 |
|---|---|---|
| Humanity's Last Exam | 35 | 13.8 |
| Terminal-Bench 4.0 | 26.8 | 0 |
| AutomationBench-AA | 59.9 | 6.3 |
| Arena Text · creative writing | 1,368 | 1,400 |
| MMMU-Pro (vision) | 76.4 | 64.9 |
Specs
| Spec | Mistral Large 4 | Mistral Medium 3.5 |
|---|---|---|
| Input, per 1M | $1.36 | $1.50 |
| Output, per 1M | $4.18 | $7.50 |
| Cost per task? | $1.13 | $0.50 |
| Speed, tok/s | 67 | 155 |
| Context | 1M | 262K |
| Weights | Closed | Open |
| Released | Oct 2026 | Apr 2026 |
| Memory (4-bit) | — | 77 GB |
| Licence | — | custom licence |
| Commercial use | — | Restricted |
| See images | ✓ | ✓ |
| Read PDFs | ✓ | ✓ |
| Hear audio | — | — |
| Watch video | — | — |
| Call tools | ✓ | ✓ |
| Force a tool call | Partial | Partial |
| Return strict JSON | ✓ | ✓ |
| Search the web | ? | ? |
| Run code | ? | ? |
| Use a computer | ? | ? |
What breaks when you switch
Mistral Large 4 → Mistral Medium 3.5
Context: 1M → 262K
Mistral Medium 3.5 → 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.