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Mistral

Mistral Large 3

mistral/mistral-large-3
Language

Europe's flagship: efficient frontier-class quality with EU data-residency alignment.

Model overview

Context window

256K

tokens

Input price

—

quoted on request

Output price

—

quoted on request

Weekly volume

—

tokens / week

Open weights

No

API only

Capabilities

4

of 11 tags

Description

Mistral Large 3 is a language model from Mistral. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Mistral’s stated focus is europe's frontier lab; efficient and open. The weights are not published, so it is API-only.

Capabilities

Tool calling
Calls functions you define and returns their arguments as structured data, the basis of agents.
JSON mode
Constrains the response to valid JSON matching a schema you supply.
Streaming
Emits tokens as they are generated, so answers appear progressively rather than all at once.
Caching
Reuses already-processed prompt prefixes across requests, cutting input cost for repeated context.

Strengths & weaknesses

Strengths

  • EU residency and compliance posture
  • Efficient serving
  • Strong function calling

Weaknesses

  • Peak capability trails the top three
  • Smaller ecosystem

Pricing

Free
Pricing for Mistral Large 3, per 1M tokens
RatePriceUnit
Input$0.00per 1M tokens
Output— not charged—

Prompt caching is supported, so repeated prefixes bill below the listed input rate. Free at the point of use; fair-use rate limits apply to the free tier. Illustrative placeholder pricing.

Context window

256Ktokens

covers prompt and response together, so a long input leaves less room for the answer.

256K tokens against a peer range of 32K to 10M, median 256K. Compared across 24 language models. Logarithmic scale.

Supported features

Feature support for Mistral Large 3
FeatureSupport
Tool callingSupported
JSON modeSupported
StreamingSupported
Vision inputNot supported
Audio inputNot supported
Long contextNot supported
Open weightsNot supported
ReasoningNot supported
Fine-tunableNot supported
BatchNot supported
CachingSupported

Example use cases

  • European enterprise

    EU residency and compliance posture

  • Regulated industries

    Efficient serving

  • General production

    Strong function calling

Related models

Comparison

Mistral Large 3 compared with GPT-5.1 and Command A
AttributeMistral Large 3GPT-5.1Command A
Context window256K400K256K
Input price$0.00$0.00$0.00
Output price— not charged— not charged— not charged
Tool callingSupportedSupportedSupported
JSON modeSupportedSupportedSupported
Vision inputNot supportedSupportedNot supported
Open weightsNot supportedNot supportedNot supported
Prompt cachingSupportedSupportedNot supported

Best value in each row is highlighted. Illustrative placeholder data.

Provider information

View Mistral →
Mistral4 models

Mistral · Paris, France · est. 2023

Mistral proved a small European team could ship frontier-relevant models within months of founding. Its efficient architectures, open releases and EU regulatory alignment made it the default choice for European enterprises, with Codestral and Voxtral extending the family into code and speech.

Recent releases

    Documentation

    Frequently asked questions

    Input is billed at $0.00 per 1M tokens, and there is no separate output charge. Prompt caching bills repeated prefixes below the listed input rate. Every figure on this page is an illustrative placeholder.