$ diff mistral-large-4 gpt-6-1-sol
Mistral Large 4 vs GPT-6.1 Sol
Values come from Mistral Large 4 and GPT-6.1 Sol, 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
- 1.1M
- weights
- closed
- $/M in
- $2
- $/M out
- $10
What actually differs
- Context window
- GPT-6.1 Sol takes 1.1M against 1M — modestly more room in a single request.
- Input price
- Mistral Large 4 at $1.36/M against $2/M — 1.5× 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
- Mistral Large 4 at $4.18/M against $10/M — 2.4× 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 7 days after GPT-6.1 Sol (2026-10-06 vs 2026-09-29).
Full spec
| Attribute | Mistral Large 4 | GPT-6.1 Sol |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Released | 2026-10-06 | 2026-09-29 |
| Context window | 1M | 1.05M tokens |
| Pricing | $1.36/M input · $4.18/M output (announcement) | $2/M input · $10/M output · cached input $0.10/M |
| License | not recorded | proprietary (API-only; no weight release) |
| Availability | Mistral Studio API preview; weights promised by end of October 2026 | OpenAI API; Codex; ChatGPT Work — surfaces named in reporting, not enumerated by a first-party page |