mistral-large-3
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
IQ
92
EQ
101
Effective Cost
$0.4461
IQ Rank
#129
mistral-large-3 API pricing — full price table, workload cost examples, and cheaper alternatives.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 74 | 0/3 |
| Mathematical Reasoning | 92 | 1/5 |
| Academic Reasoning | 103 | 6/6 |
| Programmatic Reasoning | 101 | 2/5 |
| Computer Use | 90 | 0/5 |
| Reliability | 91 | 4/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of mistral-large-3?
- mistral-large-3 has an estimated IQ of 92, which ranks #129 out of 143 public models on the AI IQ leaderboard. The score combines six equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- What is the EQ of mistral-large-3?
- mistral-large-3 has an estimated EQ of 101. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
- How much does mistral-large-3 cost?
- mistral-large-3 costs $0.50 per million input tokens and $1.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.4461 per million input-plus-output tokens.
- Is mistral-large-3 open source?
- Yes — mistral-large-3 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- When was mistral-large-3 released?
- mistral-large-3 was publicly released on December 2, 2025.
- How large is the context window of mistral-large-3?
- mistral-large-3 supports a context window of 256,000 tokens — the amount of text it can consider in a single request.
- How fast is mistral-large-3?
- In independent measurements, mistral-large-3 generates about 52 tokens per second, with a typical response time of about 11 seconds.