How much does Ministral 3 14B 2512 cost?

Ministral 3 14B 2512 costs $0.20/M input tokens and $0.20/M output tokens, with separate rates for Cache Read at $0.02/M tokens.

What is the context length of Ministral 3 14B 2512?

Ministral 3 14B 2512 has a 262,144 token context window. It supports up to 262,144 completion tokens.

Does Ministral 3 14B 2512 support tool calling and structured outputs?

Yes. Ministral 3 14B 2512 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Ministral 3 14B 2512 support?

Ministral 3 14B 2512 accepts text and images as input and returns text.

Which providers serve Ministral 3 14B 2512?

Ministral 3 14B 2512 is served by 1 provider on OpenRouter: Mistral.

What other text models does Mistral have?

Mistral Large 4, Mistral Medium 3.5, Mistral Small 4 and 16 more are other text models from Mistral.

When was Ministral 3 14B 2512 released?

Ministral 3 14B 2512 was released on December 2, 2025.

Mistral: Ministral 3 14B 2512

mistralai/ministral-14b-2512

Model weights

Compare

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities.

Modalities

In / out price

$0.20 / $0.20per 1M

Context

262K

Released

Dec 2, 2025

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.22	$0.22	$0.022	0.37s	102 tok/s	99.82%
	$0.20	$0.20	$0.02	0.37s	99 tok/s	99.91%

Input $0.22Output $0.22
102 tok/s99.82% uptime
Input $0.20Output $0.20
99 tok/s99.91% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.1538/M tokens

Output

$0.2031/M tokens

Ministral 3 14B 2512 — Price history

Price history

No effective price data for this selection

		$0.153	$0.200	25.8%	80.4%
		$0.155	$0.219	32.6%	19.6%

Effective in $0.153Effective out $0.200
Token share
80.4%
Effective in $0.155Effective out $0.219
Token share
19.6%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.96%

Availability over the last 3 days

Last 72 hours

Availability 99.96%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.97%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Mistral: Ministral 3 14B 2512 (Artificial Analysis and Design Arena)
Source	Benchmark	Score
Artificial Analysis	Ministral 3 14B Coding Index	14.4
Artificial Analysis	Ministral 3 14B Agentic Index	1.1
Artificial Analysis	Ministral 3 14B GPQA Diamond	57.2%
Artificial Analysis	Ministral 3 14B HLE	4.6%
Artificial Analysis	Ministral 3 14B IFBench	32.0%
Artificial Analysis	Ministral 3 14B τ²-Bench Telecom	27.2%
Artificial Analysis	Ministral 3 14B AA-LCR	26.3%
Artificial Analysis	Ministral 3 14B τ-Bench Banking	6.6%
Artificial Analysis	Ministral 3 14B GDPval-AA	0.0%
Artificial Analysis	Ministral 3 14B CritPt	0.0%
Artificial Analysis	Ministral 3 14B LiveCodeBench	35.1%
Artificial Analysis	Ministral 3 14B SciCode	23.8%
Artificial Analysis	Ministral 3 14B Terminal-Bench Hard	4.5%
Artificial Analysis	Ministral 3 14B Terminal-Bench 4.0	0.0%
Artificial Analysis	Ministral 3 14B Terminal-Bench 2.1	9.7%
Artificial Analysis	Ministral 3 14B MMLU-Pro	69.3%
Artificial Analysis	Ministral 3 14B AIME 2025	30.0%
Design Arena	Ministral 3 14B (2512) Models Arena 3D Elo	970
Design Arena	Ministral 3 14B (2512) Models Arena Code Categories Elo	1054
Design Arena	Ministral 3 14B (2512) Models Arena Game Development Elo	1027
Design Arena	Ministral 3 14B (2512) Models Arena Website Elo	1073

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

LexiBot

new

212Mtokens

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

186Mtokens

AnySkin worker

new

153Mtokens

QueryDesk

new

135Mtokens

Guia o Melhor

new

121Mtokens

Rest of OpenRouter

229M

Top 5 Apps

40.3M

Available through EU in-region routing

Mistral: Ministral 3 14B 2512 is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe

Mistral

Prices in Europe

Mistral: $0.22/M tokens input, $0.22/M tokens output

Base URL

https://eu.openrouter.ai/api/v1

Plan

Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs

More models from Mistral

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Speech$13/M characters

Voxtral Small Transcribe 3

Voxtral Small Transcribe 3 is Mistral's flagship speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization, and supports context biasing for domain-specific vocabulary. Suited for high-accuracy multilingual transcription of meetings, interviews, media, and support calls.

Transcription$0.000067/second

Voxtral Mini Transcribe 3

Voxtral Mini Transcribe 3 is Mistral's compact speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization. It also supports context biasing for domain terms. It is small enough to self-deploy in resource-constrained environments, and fits meeting notes, call analytics, and voice-agent pipelines where cost matters.

Transcription$0.000058/second

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.

Text1.0M context$0.70 / $2.10

Voxtral Small 24B 2507 STT

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Transcription$0.00005/second

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Transcription$0.000017/second

Voxtral Mini Transcribe

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Transcription$0.00005/second

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.

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Mistral Medium 3.5 (batch)

Text262K context$0.75 / $3.75

Voxtral Mini TTS

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Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.

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Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window.

Devstral 2 supports exploring codebases and orchestrating changes across multiple files while maintaining architecture-level context. It tracks framework dependencies, detects failures, and retries with corrections—solving challenges like bug fixing and modernizing legacy systems. The model can be fine-tuned to prioritize specific languages or optimize for large enterprise codebases. It is available under a modified MIT license.

Text262K context$0.40 / $2

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The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

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Mistral Large 3 2512

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Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases.

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Mistral: Ministral 3 14B 2512

Providers