$ diff mistral-large-4 deepseek-v4-1-flash
Mistral Large 4 vs DeepSeek V4.1-Flash
Values come from Mistral Large 4 and DeepSeek V4.1-Flash, 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
- $0.15
- $/M out
- $0.6
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- DeepSeek V4.1-Flash at $0.15/M against $1.36/M — 9.1× 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
- DeepSeek V4.1-Flash at $0.6/M against $4.18/M — 7.0× 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 26 days after DeepSeek V4.1-Flash (2026-10-06 vs 2026-09-10).
Full spec
| Attribute | Mistral Large 4 | DeepSeek V4.1-Flash |
|---|---|---|
| Developer | Mistral AI | DeepSeek |
| Released | 2026-10-06 | 2026-09-10 |
| Context window | 1M | 1,000,000 |
| Pricing | $1.36/M input · $4.18/M output (announcement) | $0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing |
| License | not recorded | MIT (open-weight) |
| Availability | Mistral Studio API preview; weights promised by end of October 2026 | DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`) |