Mistral Large 3
AI model by Mistral. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Mistral Large 3 is a budget-tier option from Mistral at $1.50/M output tokens. Despite the low price, it scores competitively on Coding Index (20.1) and Intelligence Index (15.9) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Mistral Large 3 reports 48 tok/s output speed and 1170ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Mistral Large 3 costs $0.65 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Mistral Large 3Current | $0.50 | $1.50 | 48 tok/s |
| GPT-3.5 Turbo | $0.50 | $1.50 | — |
| Gemini 3.1 Flash-Lite | $0.25 | $1.50 | 346 tok/s |
| Command-R (Mar '24) | $0.50 | $1.50 | — |
| GPT-4.1 mini | $0.40 | $1.60 | 86 tok/s |
| Qwen3.7 Plus | $0.40 | $1.60 | 57 tok/s |