$ diff mistral-large-4 minimax-m3
Mistral Large 4 vs MiniMax M3
Values come from Mistral Large 4 and MiniMax M3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
Mistral AIMistral Large 4
- context
- 1M
- weights
- —
- $/M in
- $1.36
- $/M out
- $4.18
- context
- 1M
- weights
- open
- $/M in
- $0.3
- $/M out
- $1.2
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- MiniMax M3 at $0.3/M against $1.36/M — 4.5× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- MiniMax M3 at $1.2/M against $4.18/M — 3.5× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Mistral Large 4 shipped 127 days after MiniMax M3 (2026-10-06 vs 2026-06-01).
Full spec
| Attribute | Mistral Large 4 | MiniMax M3 |
|---|---|---|
| Developer | Mistral AI | MiniMax |
| Released | 2026-10-06 | 2026-06-01 |
| Context window | 1M | 1,000,000 tokens (1M); min. 512K guaranteed |
| Pricing | $1.36/M input · $4.18/M output (announcement) | $0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28 |
| License | not recorded | Open-weight (HuggingFace) |
| Availability | Mistral Studio API preview; weights promised by end of October 2026 | API (global, including English) + open-weight on HuggingFace |