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.
Strengths
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
Monthly cost estimate
See what Mistral: Mistral Small 3.2 24B actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.075
Output cost
$0.100
Total / month
$0.175
Based on Mistral: Mistral Small 3.2 24B API pricing: $0.075/1M input · $0.19999999999999998/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Mistral: Mistral Small 3.2 24B pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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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.
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Compare alternatives
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Mistral: Mistral Large 3 2512
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
$2.00/1M in
$6.00/1M out
Speed
Change history
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: 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: 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: Mistral Small 3.2 24B?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Mistral: Mistral Small 3.2 24B?
Mistral: Ministral 3 14B 2512 is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need multimodal inputs, deep scientific reasoning, or premium creative writing quality — upgrade to a frontier model for those tasks.
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
Balanced
Best for multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
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
Best for developers who need a cheap, fast coding assistant for agentic workflows, code review, and multi-file repo tasks without paying flagship prices.
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
Best for high-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.
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.
