In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- DeepSeek-V4-Pro-0813 is cheaper per output token: $3.96 against $7.50 per million tokens, so Mistral Medium 3.5 costs 1.9 times as much.
- DeepSeek-V4-Pro-0813 reads more at once: a context window of 1M tokens against 256K.
- Both can be downloaded and run on your own machine.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| DeepSeek-V4-Pro-0813 | Mistral Medium 3.5 | |
|---|---|---|
| Made by | DeepSeek · China | Mistral AI · France |
| Released | Aug 13, 2026 | Apr 28, 2026 |
| Price per 1M tokens | $1.32 in / $3.96 out (peak-hours price) | $1.50 in / $7.50 out |
| Context window | 1M | 256K |
| Takes in | text | text, image |
| Download and run it yourself | Yes (MIT) | Yes (Modified MIT) |
| Size | 1.6T parameters, 49B active | 128B (dense) parameters |
| Maker says | — | “Our frontier-class multimodal model optimized for agentic and coding use cases.” |
| Sources | Prices, Oct 20, 2026 | Prices, Oct 20, 2026 · Description |
Independent tests
Where they place.
Position on each board we follow (1 is best). Epoch AI's and Vectara's scores are shown; the other boards are linked for their own figures.
More comparisons