An ultra-cheap, fast model with a surprisingly large context window, but quality limitations make it a pipeline tool rather than a general assistant.
52
Coding
48
Writing
45
Research
0
Images
93
Value
74
Long Context
Use this when
High-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.
Skip this if
You need reliable multi-step reasoning, high-quality writing, or complex code generation — the 3B size will produce noticeably degraded outputs on these tasks.
Pricing
$0.20/1M in
$0.20/1M out
→0%since May 2026
Context
262k tokens
Speed
Very fast
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.
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
Weaknesses
3B parameter size limits reasoning depth — struggles with multi-step logic, complex math, and nuanced analysis
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
Real-world use cases
What people actually use Ministral 3 14B 2512 for.
Classifying thousands of support tickets per hour into predefined categories at minimal cost
Summarizing long documents or meeting transcripts within a 262K context window
Generating boilerplate code snippets or simple scripts from well-defined prompts
How Ministral 3 14B 2512 compares
The nearest models people weigh against it, and what actually separates them.
vs Ministral 3 3B 2512 — Against Ministral 3 3B 2512 (Mistral), Ministral 3 14B 2512 costs about 50% more per token and takes 2x the context. Ministral 3 3B 2512 is the one to check first if the price difference matters more than the ceiling.
vs Ministral 3 8B 2512 — Against Ministral 3 8B 2512 (Mistral), Ministral 3 14B 2512 costs about 25% more per token. Ministral 3 8B 2512 is the one to check first if the price difference matters more than the ceiling.
vs Mistral Large 3 2512 — Against Mistral Large 3 2512 (Mistral), Ministral 3 14B 2512 runs about 80% cheaper per token and answers faster. Take Ministral 3 14B 2512 unless you specifically need what Mistral Large 3 2512 does better.
Price History
Ministral 3 14B 2512 pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using Ministral 3 14B 2512
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.
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.
Verdict
The cheapest viable option for simple NLP tasks, but don't expect small-flagship performance.
Quality score
41%
Pricing
$0.10/1M in
$0.10/1M out
Speed
Very fast
5/5 speed
Context
131k tokens
Priced at a flat $0.10/1M for both input and output, making cost estimation predictable. The '2512' suffix indicates a December 2025 release version. Best suited for batch processing, classification, or extraction pipelines where volume is high and task complexity is low.
3BEdgeUltra-budgetMistralLightweight
Best for
High-volume, low-latency tasks where cost and speed matter more than frontier-level reasoning.
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.
Verdict
The go-to model for bulk processing tasks where cost and speed trump quality.
Quality score
50%
Pricing
$0.15/1M in
$0.15/1M out
Speed
Very fast
5/5 speed
Context
262k tokens
The '8B 2512' in the model name likely refers to a specific versioned release; despite the naming, this is based on Mistral's 3B architecture. Confirm parameter count and capabilities with Mistral's official documentation before production use.
budgetedgefastlong-contextcompact
Best for
High-volume, latency-sensitive applications where cost per token matters more than top-tier quality.
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.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Ministral 3 14B 2512 — added to UseRightAI
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.
Ministral 3 14B 2512 costs $0.19999999999999998 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 $2.40 at list price, before any batch or caching discounts.
What is Ministral 3 14B 2512 best for?
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.
When should I avoid Ministral 3 14B 2512?
You need reliable multi-step reasoning, high-quality writing, or complex code generation — the 3B size will produce noticeably degraded outputs on these tasks.
What is a cheaper alternative to Ministral 3 14B 2512?
Ministral 3 8B 2512 (Mistral) at $0.15/1M/1M input against Ministral 3 14B 2512's $0.20/1M/1M — roughly 25% less per token all in. The go-to model for bulk processing tasks where cost and speed trump quality. Compare it first if Ministral 3 14B 2512's pricing is the thing stopping you.
What is a faster alternative to Ministral 3 14B 2512?
Ministral 3 3B 2512 — very fast against Ministral 3 14B 2512's very fast, with 131k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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