Mistral Large 4
| Maker | Mistral |
|---|---|
| Family | Mistral Large |
| Released | 2026-10-06 |
| Context | 1M |
| Max output | 262.1K |
| Open weights | Closed |
|---|---|
| Modalities | text, image → text |
| Input / 1M | $1.36 |
| Output / 1M | $4.18 |
| Review call | $0.0457 |
| Reasoning efforts | none, high |
|---|---|
| Hosts | OpenRouter |
| Model id | mistralai/mistral-large-4-0 |
CodePanel's benchmark has not run Mistral Large 4 as a pull-request reviewer yet, so this page has no recall, false-alarm or measured-cost figures for it. The methodology explains how ranked models are scored.
No Mistral model is in the run yet. The ranked model closest to it in list price is GLM-5.3 (Workers AI) from Z.ai, which caught 61% [50%–72%] of the known bugs at rank 3 of 17, with a measured review cost of $0.0311. At list price, a typical review call (26.2K tokens in and 2.4K out) costs $0.0457 on Mistral Large 4 and $0.0473 on GLM-5.3 (Workers AI), so this model's call is about the same as that one's.
| Host | Model id | Input / 1M | Output / 1M |
|---|---|---|---|
| OpenRouter | mistralai/mistral-large-4-0 | $1.36 | $4.18 |
Source: models.dev's OpenRouter listing, Oct 23, 2026
| Version | Released | Input / 1M | Output / 1M | Context |
|---|---|---|---|---|
| Mistral Large 3 | 2025-12-02 | $0.50 | $1.50 | 262.1K |
| Model | Maker | Input / 1M | Output / 1M | Review call | Context | Bugs caught |
|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | DeepSeek | $1.32 | $3.96 | $0.0442 | 1M | – |
| GLM-5.3 (Workers AI) | Z.ai | $1.40 | $4.40 | $0.0473 | 1M | 61% |
| Muse Spark 1.2 | Meta | $1.25 | $4.25 | $0.043 | 1M | – |
| Qwen3.7 Max | Qwen | $1.475 | $4.425 | $0.0494 | 1M | – |
Updated Oct 23, 2026