The best budget coding model available today, offering frontier-adjacent performance at commodity pricing.
82
Coding
68
Writing
70
Research
0
Images
93
Value
78
Long Context
Use this when
High-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks.
Skip this if
You need multimodal inputs, deep scientific reasoning, or premium creative writing quality — upgrade to a frontier model for those tasks.
Pricing
$0.07/1M in
$0.20/1M out
→0%since May 2026
Context
128k tokens
Speed
Fast
Mistral Small 3.2 is available as an open-weight model, making it deployable on-premises or via self-hosted infrastructure — a key differentiator over GPT-4o Mini and Claude Haiku for privacy-sensitive use cases.
Exceptional cost-to-performance ratio at $0.075/$0.20 per million tokens — significantly cheaper than GPT-4o Mini while matching or exceeding it on many benchmarks
Strong function calling and structured JSON output, making it reliable for agentic pipelines
128K context window enables long document processing at budget pricing
Outperforms its predecessor Mistral Large 2 on coding tasks despite being a smaller model
Weaknesses
Complex multi-step reasoning and deep analytical tasks still lag behind frontier models like Claude Sonnet 4.6 or GPT-4o
No native image or multimodal input support — text-only
Less consistent on nuanced creative writing compared to Anthropic or OpenAI equivalents at similar price points
Real-world use cases
What people actually use Mistral Small 3.2 24B for.
Generating and reviewing pull request diffs across a large codebase using its 128K context window
Running thousands of daily customer support classification and response tasks at low cost
Extracting structured JSON data from long legal or financial documents
How Mistral Small 3.2 24B compares
The nearest models people weigh against it, and what actually separates them.
vs Mistral Large 3 2512 — Against Mistral Large 3 2512 (Mistral), Mistral Small 3.2 24B runs about 86% cheaper per token, gives up 2x on context and answers faster. Take Mistral Small 3.2 24B unless you specifically need what Mistral Large 3 2512 does better.
vs Devstral Small 1.1 — Against Devstral Small 1.1 (Mistral), Mistral Small 3.2 24B runs about 31% cheaper per token and gives up 1x on context. Take Mistral Small 3.2 24B unless you specifically need what Devstral Small 1.1 does better.
vs Ministral 3 14B 2512 — Against Ministral 3 14B 2512 (Mistral), Mistral Small 3.2 24B runs about 31% cheaper per token, gives up 2x on context and answers slower. Which one wins depends on whether context depth or latency is your constraint.
Price History
Mistral Small 3.2 24B pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
Ready to try it?
Start using Mistral Small 3.2 24B
High-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks.. Start free — no card required.
Mistral Large 3 2512 is Mistral's flagship dense model updated in December 2025, offering strong multilingual reasoning and coding capabilities at a significantly reduced price point compared to its predecessor. It targets enterprise workloads that need high-quality outputs without paying top-tier frontier model prices.
Verdict
The best price-per-quality ratio in the non-mini flagship tier, especially for multilingual and long-context enterprise tasks.
Quality score
69%
Pricing
$0.50/1M in
$1.50/1M out
Speed
Balanced
3/5 speed
Context
262k tokens
Pricing of $0.50 input / $1.50 output per 1M tokens places it firmly in the budget-flagship category. Available via Mistral API (La Plateforme) and major cloud providers. December 2025 update ('2512') improves instruction following over the earlier 2407 release.
Multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Devstral Small 1.1 is Mistral's code-specialized small model, purpose-built for software engineering tasks including code generation, debugging, and repository-level reasoning. It succeeds Devstral Small 1.0 with improved instruction following and agentic coding capabilities at a fraction of flagship model costs.
Verdict
The best dollar-for-dollar coding model for agentic pipelines that doesn't need to do anything else.
Quality score
54%
Pricing
$0.10/1M in
$0.30/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Available via Mistral API and can be self-hosted via open weights. Pricing is among the lowest available for a code-specialized model. Designed to work within coding agent frameworks like SWE-agent and OpenHands.
Ministral 3B is Mistral's compact edge-optimized model designed for high-throughput, low-latency tasks at an extremely competitive price point. Despite its small size, it supports a 262K context window, making it unusually capable for a sub-$0.20/1M token model.
Verdict
An ultra-cheap, fast model with a surprisingly large context window, but quality limitations make it a pipeline tool rather than a general assistant.
Quality score
48%
Pricing
$0.20/1M in
$0.20/1M out
Speed
Very fast
5/5 speed
Context
262k tokens
Model name suggests a December 2025 revision ('2512'). Pricing is symmetric at $0.20/1M for both input and output, which simplifies cost modeling. Confirm availability on your target API platform as Mistral model availability varies by provider.
budgetedgesmall modellong contexthigh throughput
Best for
High-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Mistral Small 3.2 24B — added to UseRightAI
Mistral: Mistral Small 3.2 24B (Mistral) is now indexed. It supersedes Mistral Large 2. The best budget coding model available today, offering frontier-adjacent performance at commodity pricing.
Mistral Small 3.2 24B costs $0.075 per million input tokens and $0.19999999999999998 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $1.15 at list price, before any batch or caching discounts.
What is Mistral Small 3.2 24B best for?
Mistral Small 3.2 24B is best for high-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Mistral Small 3.2 24B?
You need multimodal inputs, deep scientific reasoning, or premium creative writing quality — upgrade to a frontier model for those tasks.
What is a cheaper alternative to Mistral Small 3.2 24B?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Mistral Small 3.2 24B's $0.07/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Mistral Small 3.2 24B's pricing is the thing stopping you.
What is a faster alternative to Mistral Small 3.2 24B?
Ministral 3 14B 2512 — very fast against Mistral Small 3.2 24B's fast, with 262k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
Newsletter
Get notified when Mistral Small 3.2 24B pricing changes
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.