An ultra-cheap, fast model with a surprisingly large context window, but quality limitations make it a pipeline tool rather than a general assistant.
High-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.
Exceptionally low $0.20/1M token pricing for both input and output — one of the cheapest options available
262K context window is massive for a model at this price tier, rivaling much larger models
Fast inference suitable for real-time or high-throughput production pipelines
Solid instruction-following for a 3B parameter model, outperforming many comparable small models
3B parameter size limits reasoning depth — struggles with multi-step logic, complex math, and nuanced analysis
See what Mistral: Ministral 3 14B 2512 actually costs at your usage level
Based on Mistral: Ministral 3 14B 2512 API pricing: $0.19999999999999998/1M input · $0.19999999999999998/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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→0% since May 9
4 data points · tracked daily since May 9, 2026
High-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.. Start free — no card required.
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Ministral 3B is Mistral's ultra-compact 3-billion parameter edge model designed for lightweight inference, on-device deployment, and cost-sensitive applications. It delivers surprisingly capable text understanding and generation at a fraction of the cost of larger models.
Pricing moves, ranking shifts, and capability updates.
Mistral: Ministral 3 14B 2512 (Mistral) is now indexed. An ultra-cheap, fast model with a surprisingly large context window, but quality limitations make it a pipeline tool rather than a general assistant.
View modelMistral: Ministral 3 14B 2512 is best for high-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need reliable multi-step reasoning, high-quality writing, or complex code generation — the 3B size will produce noticeably degraded outputs on these tasks.
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.
Mistral: Ministral 3 3B 2512 is the better pick when response time matters more than maximum depth or premium quality.
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You need reliable multi-step reasoning, high-quality writing, or complex code generation — the 3B size will produce noticeably degraded outputs on these tasks.
Writing quality and creative output fall noticeably short of mid-tier models like Claude Haiku 3.5 or GPT-4.1 mini
Not suitable for advanced coding tasks requiring architectural reasoning or debugging complex systems
Ministral 3B is Mistral's ultra-compact edge model designed for low-latency, cost-sensitive deployments. It punches above its weight for a sub-4B parameter model, handling instruction following, summarization, and lightweight reasoning at near-negligible cost.
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.
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