MistralGeneralReleased 1 December 2025

Mistral Large 3 2512 pricing, context and benchmark

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

262K
Input context
210K
Output context
$0.5
Official input
$1.5
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelMistral Large 3 2512
Model IDmistralai/mistral-large-2512
ProviderMistral
Release date1 December 2025
StatusGenerally available
Input context262,144 tokens
Output context209,715 tokens
Official input pricing$0.5 per 1M tokens
Official output pricing$1.5 per 1M tokens
Cache read pricing$0.05 per 1M tokens
Market input pricing$0.5 per 1M (cheapest route)
Market output pricing$1.5 per 1M (cheapest route)
Input modalitiestext · image · file
Output modalitiestext
Reasoning controlNot exposed
Tool supportFunctions, tool choice, structured outputs
TokenizerMistral
Provider routes2 endpoints
Artificial Analysis indexNot published
SpeedNot published
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.5 in
Image✓ yesno$0.5 in
Audionononot supported
Videonononot supported
File (PDF)✓ yesno$0.5 in

What is Mistral Large 3 2512?

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Mistral Large 3 2512 carries a 262K token window, uses the Mistral tokenizer and is served by Mistral. On Hoodgen it sits in the General tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released1 December 2025
PropertyMistral Medium 3.1Mistral Large 3 2512Change
Released20252025Same release window
Context131K262KChanged
Max output105K210KChanged
Input price$0.4$0.5Higher
Output price$2$1.5Cheaper
Input modalitiestext, image, filetext, image, fileUnchanged
AA indexn/an/aNewer benchmark run

Features and capabilities

⚙
Function calling
Tools, tool choice and parallel calls, which is what agent loops need to act on results.
{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.
◉
Vision
Screenshots, charts and photographed documents are read at the text token rate.
▤
Files and PDFs
Documents go in as files rather than pasted text, keeping layout and tables intact.
⚡
Prompt caching
Cached input costs $0.05 per million instead of $0.5, so stable prefixes get cheaper.
⌁
Seeds
A seed can be pinned so the same prompt is reproducible across test runs.

What can you do with Mistral Large 3 2512?

Everyday writing
Drafts, rewrites, summaries and replies.
Research
Source material condensed with the key numbers kept.
Chat
General questions where latency and cost both matter.
Tooling inside Hoodgen
Writer, Humanizer, Coding and the rest of the tool suite.

Prompt caching and how to cut the bill

Cached input bills at $0.05 per million instead of $0.5. Keep the system prompt and documents first and the changing question last, so every call hits the cache.

Mistral Large 3 2512 pricing

Official pricing

List price
$0.5 / 1M in
$1.5 / 1M out
  • $0.05 cached input
  • 262K context
  • text, image, file input
Cheapest route
$0.5 / 1M in
$1.5 / 1M out
  • 2 routes on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Mistralstandard$0.5$1.5$0.05100.0%
Mistralstandard$0.55$1.65$0.055100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0069$3.433254
List price$0.0069$3.433254

API and developer information

Model IDmistralai/mistral-large-2512
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersfrequency_penalty · max_tokens · presence_penalty · response_format · seed · stop · structured_outputs · temperature · tool_choice · tools · top_p
StreamingYes, server sent events
Modality stringtext+image+file->text
Max prompt tokens262,144
Max completion tokens209,715
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-large-2512",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap209,715 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Mistral Large 3 2512 vs other Mistral models

ModelContextInput /1MOutput /1MAA indexReleased
Mistral Large 3 2512262K$0.5$1.5n/a2025
Devstral 2 2512262K$0.4$2n/a2025
Mistral Medium 3.1131K$0.4$2n/a2025
Ministral 3 8B 2512262K$0.15$0.15n/a2025

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Mistral and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Mistral Large 3 2512 questions, answered

Mistral Large 3 2512 is a general model from Mistral, released 1 December 2025. Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
✦

Start chatting with Mistral Large 3 2512

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.