mistral-large-4
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
mistral-large-4 API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-10-06 |
|---|---|
| Modalities | text, image |
| Context window | 1,000,000 tokens |
Public preview API on Mistral Studio. Weights announced for the end of October 2026; not yet released.
Publisher-reported capabilities
- General-purpose multimodal model supporting reasoning, coding and agentic workflows.
- Supports function calling, structured outputs and document question answering.
Limitations and availability caveats
- Preview model may change as training continues.
- Weights and their final license are not yet available.
- Announcement and documentation disagree on exact parameter counts; no numeric size is stored.
Official release and model references
Measured Coverage and Estimates
Mistral Large 4 has 13 of 39 tracked IQ benchmark inputs across 5 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Programmatic Reasoning (IQ 133) and Academic Reasoning (IQ 129). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 100 | 0/5 |
| Mathematical Reasoning | 114 | 1/5 |
| Academic Reasoning | 129 | 4/6 |
| Programmatic Reasoning | 133 | 2/6 |
| Computer Use | 110 | 0/5 |
| Reliability | 117 | 2/6 |
| Knowledge Work | 127 | 4/6 |
Benchmark Results
Compare
Frequently Asked Questions
- What is the IQ of mistral-large-4?
- mistral-large-4 has an estimated IQ of 118, which ranks #45 out of 160 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- How much does mistral-large-4 cost?
- mistral-large-4 costs $1.36 per million input tokens and $4.18 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $8.77 per million input-plus-output tokens.
- Is mistral-large-4 open source?
- No — mistral-large-4 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- When was mistral-large-4 released?
- mistral-large-4 was publicly released on October 6, 2026.
- How large is the context window of mistral-large-4?
- mistral-large-4 supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is mistral-large-4?
- In independent measurements, mistral-large-4 generates about 116 tokens per second, with a typical response time of about 23 seconds.