Pick Mistral Large 3 for open-weight (apache 2.0), self-hostable or strong multilingual performance. Pick Mistral Small 3.2 24B for extremely cheap open-weight model at about $0.075/$0.20 hosted or self-hostable under apache-2.0 with no per-token cost. On a tight budget at scale, Mistral Small 3.2 24B is the value pick.
Mistral Large 3 (Mistral) and Mistral Small 3.2 24B (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 Small 3.2 24B is mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences
Price: Mistral Small 3.2 24B is about 6.7× cheaper on input ($0.075/$0.2 per 1M tokens vs $0.5/$1.5 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
Context window: both advertise 256K (~384 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: Mistral Large 3 is the newer model by about 6 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Specifications
Spec
Mistral Large 3
Mistral Small 3.2 24B
Provider
Mistral (France)
Mistral AI (France)
Released
December 2, 2025
June 20, 2025
Context window
256K (~384 pages)
256K (~384 pages)
Price (in/out)
$0.5/$1.5 per 1M tokens
$0.075/$0.2 per 1M tokens
Open weight?
Yes — self-hostable
Yes — self-hostable
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 — France's frontier contender — strong multilingual model with European data residency — and it is the newer of the two.
Strong multilingual performance: Mistral Large 3 — Mistral Large 3 lists strong multilingual performance among its strengths; Mistral Small 3.2 24B does not.
Efficient inference: Mistral Large 3 — Mistral Large 3 lists efficient inference among its strengths; Mistral Small 3.2 24B does not.
Extremely cheap open-weight model at about $0.075/$0.20 hosted: Mistral Small 3.2 24B — At $0.075/$0.2 per 1M tokens it undercuts Mistral Large 3 ($0.5/$1.5 per 1M tokens), and that gap compounds at volume.
Self-hostable under Apache-2.0 with no per-token cost: Mistral Small 3.2 24B — Mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality — and it runs cheaper at $0.075/$0.2 per 1M tokens.
Instruction following and function calling at 24B scale: Mistral Small 3.2 24B — Mistral Small 3.2 24B lists instruction following and function calling at 24B scale among its strengths; Mistral Large 3 does not.
Lowest cost at scale: Mistral Small 3.2 24B — At $0.075/$0.2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume: Mistral Small 3.2 24B — At $0.075/$0.2 per 1M tokens it undercuts Mistral Large 3, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is open-weight (apache 2.0), self-hostable: Mistral Large 3 — It is specifically built for that.
Anyone whose priority is extremely cheap open-weight model at about $0.075/$0.20 hosted: Mistral Small 3.2 24B — 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 Small 3.2 24B: where it fits
Mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Released June 20, 2025 by Mistral AI, it is built for extremely cheap open-weight model at about $0.075/$0.20 hosted, self-hostable under Apache-2.0 with no per-token cost, instruction following and function calling at 24B scale, and runs on modest hardware for local or private deployment.
Its trade-offs: a 24B small model — not a frontier reasoner, context reported as 256K but some references cite 128K native, no published SWE-Bench Verified score, and hosted prices vary by provider; the figure shown is a common host rate. At $0.075 in / $0.2 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Mistral Large 3 and Mistral Small 3.2 24B overlap enough that the right pick depends on your specific job. Mistral Small 3.2 24B costs less per token; and each leads in its own area — Mistral Large 3 for open-weight (apache 2.0), self-hostable, Mistral Small 3.2 24B for extremely cheap open-weight model at about $0.075/$0.20 hosted. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Mistral Large 3 or Mistral Small 3.2 24B 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 Small 3.2 24B leans toward extremely cheap open-weight model at about $0.075/$0.20 hosted, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Mistral Large 3 or Mistral Small 3.2 24B?
Mistral Small 3.2 24B is cheaper — $0.5/$1.5 per 1M tokens vs $0.075/$0.2 per 1M tokens, roughly 6.7× apart on input.
Which has the bigger context window?
Both advertise 256K (~384 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Mistral Large 3 and Mistral Small 3.2 24B together?
Yes — a multi-model platform like LumiChats gives you Mistral Large 3, Mistral Small 3.2 24B 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 Small 3.2 24B?
Mistral Large 3 — released December 2, 2025, about 6 months after Mistral Small 3.2 24B.
Mistral Large 3 vs Mistral Small 3.2 24B
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 Small 3.2 24B for extremely cheap open-weight model at about $0.075/$0.20 hosted or self-hostable under apache-2.0 with no per-token cost. On a tight budget at scale, Mistral Small 3.2 24B is the value pick.
Mistral Large 3 (Mistral) and Mistral Small 3.2 24B (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 Small 3.2 24B is mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
▸Price: Mistral Small 3.2 24B is about 6.7× cheaper on input ($0.075/$0.2 per 1M tokens vs $0.5/$1.5 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
▸Context window: both advertise 256K (~384 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: Mistral Large 3 is the newer model by about 6 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Mistral Large 3
Mistral Small 3.2 24B
Provider
Mistral (France)
Mistral AI (France)
Released
December 2, 2025
June 20, 2025
Context window
256K (~384 pages)
256K (~384 pages)
Price (in/out)
$0.5/$1.5 per 1M tokens
$0.075/$0.2 per 1M tokens
Open weight?
Yes — self-hostable
Yes — self-hostable
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
France's frontier contender — strong multilingual model with European data residency — and it is the newer of the two.
Strong multilingual performance
Mistral Large 3
Mistral Large 3 lists strong multilingual performance among its strengths; Mistral Small 3.2 24B does not.
Efficient inference
Mistral Large 3
Mistral Large 3 lists efficient inference among its strengths; Mistral Small 3.2 24B does not.
Extremely cheap open-weight model at about $0.075/$0.20 hosted
Mistral Small 3.2 24B
At $0.075/$0.2 per 1M tokens it undercuts Mistral Large 3 ($0.5/$1.5 per 1M tokens), and that gap compounds at volume.
Self-hostable under Apache-2.0 with no per-token cost
Mistral Small 3.2 24B
Mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality — and it runs cheaper at $0.075/$0.2 per 1M tokens.
Instruction following and function calling at 24B scale
Mistral Small 3.2 24B
Mistral Small 3.2 24B lists instruction following and function calling at 24B scale among its strengths; Mistral Large 3 does not.
Lowest cost at scale
Mistral Small 3.2 24B
At $0.075/$0.2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Mistral Small 3.2 24B
At $0.075/$0.2 per 1M tokens it undercuts Mistral Large 3, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is open-weight (apache 2.0), self-hostable
→ Mistral Large 3
It is specifically built for that.
Anyone whose priority is extremely cheap open-weight model at about $0.075/$0.20 hosted
→ Mistral Small 3.2 24B
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 Small 3.2 24B: where it fits
Mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Released June 20, 2025 by Mistral AI, it is built for extremely cheap open-weight model at about $0.075/$0.20 hosted, self-hostable under Apache-2.0 with no per-token cost, instruction following and function calling at 24B scale, and runs on modest hardware for local or private deployment.
Its trade-offs: a 24B small model — not a frontier reasoner, context reported as 256K but some references cite 128K native, no published SWE-Bench Verified score, and hosted prices vary by provider; the figure shown is a common host rate. At $0.075 in / $0.2 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Mistral Large 3 and Mistral Small 3.2 24B overlap enough that the right pick depends on your specific job. Mistral Small 3.2 24B costs less per token; and each leads in its own area — Mistral Large 3 for open-weight (apache 2.0), self-hostable, Mistral Small 3.2 24B for extremely cheap open-weight model at about $0.075/$0.20 hosted. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Mistral Large 3 and Mistral Small 3.2 24B 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.
Is Mistral Large 3 or Mistral Small 3.2 24B 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 Small 3.2 24B leans toward extremely cheap open-weight model at about $0.075/$0.20 hosted, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Mistral Large 3 or Mistral Small 3.2 24B?
Mistral Small 3.2 24B is cheaper — $0.5/$1.5 per 1M tokens vs $0.075/$0.2 per 1M tokens, roughly 6.7× apart on input.
Which has the bigger context window?
Both advertise 256K (~384 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Mistral Large 3 and Mistral Small 3.2 24B together?
Yes — a multi-model platform like LumiChats gives you Mistral Large 3, Mistral Small 3.2 24B 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 Small 3.2 24B?
Mistral Large 3 — released December 2, 2025, about 6 months after Mistral Small 3.2 24B.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.