Mistral Large 3 vs Mistral Medium 3
Mistral · France | Mistral AI · France · Updated June 2026
Quick verdict
Pick Mistral Large 3 for open-weight (apache 2.0), self-hostable or strong multilingual performance. Pick Mistral Medium 3 for strong cost-to-capability at $0.40/$2.00 or general reasoning, coding and multimodal tasks. Choose Mistral Large 3 if you need self-hosting or data privacy; Mistral Medium 3 if you want a managed API.
Mistral Large 3 (Mistral) and Mistral Medium 3 (Mistral AI) are two of the models people most often weigh against each other in 2026. Mistral Large 3 is france's frontier contender — strong multilingual model with European data residency. Mistral Medium 3 is mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences at a glance
- ▸Price: nearly identical — $0.5/$1.5 per 1M tokens vs $0.4/$2 per 1M tokens. Cost will not be the deciding factor here.
- ▸Context window: Mistral Large 3 holds 2× more — 256K (~384 pages) vs 128K (~192 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
- ▸Recency: Mistral Large 3 is the newer model by about 7 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | Mistral Large 3 | Mistral Medium 3 |
|---|---|---|
| Provider | Mistral (France) | Mistral AI (France) |
| Released | December 2, 2025 | May 7, 2025 |
| Context window | 256K (~384 pages) | 128K (~192 pages) |
| Price (in/out) | $0.5/$1.5 per 1M tokens | $0.4/$2 per 1M tokens |
| Open weight? | Yes — self-hostable | No — API only |
| Modalities | text, image, code | text, image, code |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Open-weight (Apache 2.0), self-hostable
Mistral Large 3
Open weights make this possible at all — Mistral Medium 3 is API-only, so it cannot leave the vendor's servers.
Strong multilingual performance
Mistral Large 3
France's frontier contender — strong multilingual model with European data residency — and it carries the larger 256K context.
Efficient inference
Mistral Large 3
France's frontier contender — strong multilingual model with European data residency — and its weights are open while Mistral Medium 3 is API-only.
Strong cost-to-capability at $0.40/$2.00
Mistral Medium 3
At $0.4/$2 per 1M tokens it undercuts Mistral Large 3 ($0.5/$1.5 per 1M tokens), and that gap compounds at volume.
General reasoning, coding and multimodal tasks
Mistral Medium 3
Mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier — and it runs cheaper at $0.4/$2 per 1M tokens.
Efficient mid-tier deployment for production workloads
Mistral Medium 3
Mistral Medium 3 lists efficient mid-tier deployment for production workloads among its strengths; Mistral Large 3 does not.
Lowest cost at scale
Mistral Medium 3
At $0.4/$2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Mistral Large 3
Its 256K window is about 2× larger than Mistral Medium 3's 128K, fitting roughly 384 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Mistral Medium 3
At $0.4/$2 per 1M tokens it undercuts Mistral Large 3, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Mistral Large 3
Larger 256K window fits more in one prompt.
A team with data-privacy or self-hosting needs
→ Mistral Large 3
Open weights let you run it on your own hardware; Mistral Medium 3 is API-only.
Anyone whose priority is open-weight (apache 2.0), self-hostable
→ Mistral Large 3
It is specifically built for that.
Anyone whose priority is strong cost-to-capability at $0.40/$2.00
→ Mistral Medium 3
That is its strongest area.
Mistral Large 3: where it fits
France's frontier contender — strong multilingual model with European data residency. Released December 2, 2025 by Mistral, it is built for open-weight (Apache 2.0), self-hostable, strong multilingual performance, efficient inference, and function calling.
Its trade-offs are real: smaller context than US/China frontier, and less benchmark coverage. At $0.5 in / $1.5 out per million tokens, it sits in the budget price band.
Mistral Medium 3: where it fits
Mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier. Released May 7, 2025 by Mistral AI, it is built for strong cost-to-capability at $0.40/$2.00, general reasoning, coding and multimodal tasks, efficient mid-tier deployment for production workloads, and text and image input.
Its trade-offs: a 128K context — smaller than the 1M-window flagships here, no published SWE-Bench Verified score, a mid-tier model, not a frontier reasoner, and proprietary, unlike Mistral's open-weight releases. At $0.4 in / $2 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. Mistral Large 3 gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Mistral Medium 3 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Want both Mistral Large 3 and Mistral Medium 3 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
See pricingFrequently asked questions
Is Mistral Large 3 or Mistral Medium 3 better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Mistral Large 3 leans toward open-weight (apache 2.0), self-hostable while Mistral Medium 3 leans toward strong cost-to-capability at $0.40/$2.00, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Mistral Large 3 or Mistral Medium 3?
Mistral Large 3 is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Mistral Medium 3 is API-metered at $0.4/$2 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Mistral Large 3 — 256K vs 128K, about 2× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Mistral Large 3 and Mistral Medium 3 together?
Yes — a multi-model platform like LumiChats gives you Mistral Large 3, Mistral Medium 3 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Mistral Large 3 or Mistral Medium 3?
Mistral Large 3 — released December 2, 2025, about 7 months after Mistral Medium 3.
Related comparisons
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.