Mistral Large 4
1T-parameter multimodal MoE model (49B active) for reasoning, coding, agents, and long-context work.
Updated 2026-10-10
No free tier is documented for Mistral Large 4.
Listed pricing: Preview API $0.68/$2.09 per 1M in/out tokens (list $1.36/$4.18).
Overview
Mistral Large 4 is Mistral AI's flagship mixture-of-experts model: about 1 trillion total parameters with roughly 49 billion active per forward pass, built as a natively multimodal system for text, vision, coding, and agent-style tool use. It targets teams that need a frontier reasoning model through the API rather than a consumer chat wrapper alone.
The October 2026 public preview pushed a 1M-token context window and early benchmark traction on enterprise workflows, agent tasks, and clinical decision suites, with open weights promised later that month. That combination — dense capability with MoE efficiency, long context, and a planned open release — is the main competitive wedge against closed frontier APIs.
I'd treat it as an API/model pick for builders and enterprises who want Mistral's stack and pricing, not as a casual chatbot substitute for ChatGPT or Claude's consumer apps. If you need a polished end-user UI first, start with Le Chat; if you need the raw model for agents and long documents, Large 4 is the product that matters.
Is Mistral Large 4 free?
No free tier is documented for Mistral Large 4.
Listed pricing: Preview API $0.68/$2.09 per 1M in/out tokens (list $1.36/$4.18).
No figure is estimated here for what is not published. Check Mistral Large 4's own site for the current terms.
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
Mistral Large 4 pricing
| Plan | Price | What's included |
|---|---|---|
| API Preview (sale) | $0.68 / $2.09 per 1M input/output tokens | Public preview rates during launch window; 1M context |
| API List | $1.36 / $4.18 per 1M input/output tokens | Standard list rates after sale pricing; check mistral.ai for current tiers |
Public preview rates during launch window; 1M context
Standard list rates after sale pricing; check mistral.ai for current tiers
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
Is Mistral Large 4 worth it?
There is no free tier to test it on, so the plans above are the entry cost. The recorded trade-offs are listed below, and any one of them can settle the question on its own.
The 8.7/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with Mistral Large 4. How we verify.
Worth it if
The strengths recorded against this entry.
- 1T MoE with ~49B active params balances capability and serving cost versus dense frontier rivals
- 1M context suits long documents, repos, and agent histories
- Natively multimodal for text-plus-vision workflows in one model
- Preview API priced well below list ($0.68/$2.09 vs $1.36/$4.18 per 1M tokens)
- Open weights promised after preview, rare among top-tier frontier releases
Not worth it if
Any one of these blocks your use case.
- Access is API/model-first — not a full consumer product like ChatGPT or Claude.ai
- Preview-era pricing and availability can change; open-weight timing may slip
- Enterprise proof beyond early benchmarks still settling in independent reviews
- Teams wanting a turnkey UI should use Le Chat or another front-end, not the raw model alone
Key features
MoE Scale
Roughly 1T total parameters with ~49B active keeps frontier capacity while limiting compute per token compared with a dense model of similar size.
Long Context
A 1M-token context window supports large codebases, multi-document packs, and long agent traces without aggressive chunking.
Native Multimodal
Handles vision alongside text in one model path, so multimodal pipelines do not need a separate vision stack for basic image-conditioned tasks.
Agent Ready
Positioned for tool use, multi-step workflows, and enterprise agent loops rather than single-turn chat alone.
How it compares
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| Mistral Large 4 | — | Preview API $0.68/$2.09 per 1M in/out tokens (list $1.36/$4.18) | 8.7/10 |
| ChatGPT | Users who want one subscription covering reasoning, voice, vision, image and video generation, and agentic browsing in a single app. | Free tier + Plus $20/mo + Pro $200/mo | 9.5/10 |
| Claude | Developers and professionals who need agentic coding, computer control, and large-document or codebase analysis in one assistant. | Free tier + Pro $20/mo + Team $30/mo/user | 9.5/10 |
| Gemini | Google Workspace users who want an assistant that can read their Gmail, Drive, and Calendar while reasoning across huge documents or videos in one pass. | Free tier + Advanced $19.99/mo | 9.2/10 |
Compare head-to-head
Comparison explorer Put Mistral Large 4 up against any three tools Opens with Mistral Large 4 already loaded. Add up to three more from the full index and read pricing, features, pros and cons in one table. →Related reading
Mistral Large 4 Le Chonk Specs vs the Open Field
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Mistral Large 4’s $1.36/$4.18 Card, Audited
Mistral lists Large 4 at $1.36/$4.18 per million tokens. What that preview card covers, what it omits, and when the sticker misleads.
Ask ChatGPT Intelligent UI for Charts On Cue
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Ready to try Mistral Large 4?
Head to the official site to start with Mistral Large 4 — pricing and plans are listed above.
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