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Mistral Large 2

FreemiumText to TextOpen SourceAPISelf-HostedMulti-Model

Mistral's open-source flagship competes with Claude and GPT-4 on reasoning, costs nothing, and fits 128k tokens in memory.

Free · Free tier: Limited messages and web searches, limited coding sessions, basic image generation and editing, 100+ connectors · Checked Nov 3, 2026

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Summary

Mistral Large 2 is a general-purpose language model trained to handle complex reasoning, code generation, and multilingual work at the scale enterprises need. It's free to use via API or self-host, sits in the same performance tier as proprietary models from OpenAI and Anthropic, and can ingest documents up to 128,000 tokens long. The core trade-off: it has a knowledge cutoff earlier than competitors and lacks serious vision capabilities, making it less suitable for tasks requiring current events or image understanding. For teams optimizing on cost and reasoning quality rather than breadth of modalities, it's a genuine alternative to paid tiers.

Bottom line: *Use this when reasoning and code matter more than multimodal depth and you want to avoid API fees.*

Pricing Plans

SubscriptionLast verified 24 hours ago
Price
Free
Free Tier
Limited messages and web searches, limited coding sessions, basic image generation and editing, 100+ connectors

Free

Free

Your personal AI agent for everyday tasks. Test out Vibe's capabilities.

  • Access on web and mobile
  • Limited messages and web searches
  • Limited coding sessions
  • Basic image generation and editing
  • 100+ connectors

Pro

$14.99per month

Full access to Vibe for all-day coding and long-running tasks.

  • More messages and web searches
  • Faster responses
  • All-day coding in the CLI, IDE, or on web
  • Generate spreadsheets and slides
  • Better image generation and editing
  • Chat and email support

Team

$24.99per month

Secure, collaborative workspace for teams building with AI.

  • Even higher limits
  • Even faster responses
  • Up to 30GB of storage per user
  • Domain name verification
  • Data export

Enterprise

Custom

Private deployments powered by custom models, UI, and tools.

  • Custom models
  • Custom agents
  • Custom workflows
  • Audit logs
  • SAML SSO
  • White label

View full pricing on mistral.ai →

Pricing may have changed since last verified. Check the official site for current plans.

LLM Spec Sheet

Specializations

CodeMathReasoningMultilingualChatLong ContextAgentsInstruction

Available Models

Mistral Large 2
Knowledge Base: July 2024Context: 128kGeneral purposeReasoningCode
Mistral Medium
Knowledge Base: December 2023Context: 32kGeneral purposeBalanced
Mistral Small
Knowledge Base: September 2024Context: 32kFast inferenceLightweight
Mistral Nemo
Knowledge Base: July 2024Context: 128kEfficientInstruction-following
Codestral
Knowledge Base: April 2024Context: 32kCode generationProgramming
Codestral Mamba
Knowledge Base: April 2024Context: 256kCode generationLong context
Pixtral 12B
Knowledge Base: July 2024Context: 128kVisionMultimodal
Mistral 7B
Knowledge Base: August 2023Context: 32kLightweightOpen source
Mixtral 8x7B
Knowledge Base: April 2024Context: 32kMixture of expertsEfficient
Mixtral 8x22B
Knowledge Base: April 2024Context: 65kMixture of expertsHigh performance

Benchmarks

86.2%MMLU
89.8%HumanEval
48.6%GPQA
262.1k tokensContext Window

Pricing & Limits

Input price
$0.50 / 1M tokens
Output price
$1.50 / 1M tokens
Max output tokens
262,144

Metrics from vendor, updated .

Find your fit

Before you choose Mistral Large 2

More options in Agentic LLMs. Compare pricing, platforms, and features side by side.

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Changelog

  • — Input price first recorded at $0.50/1M · vendor
  • — Output price first recorded at $1.50/1M · vendor
  • — Context first recorded at 262.1k tokens · vendor
  • — Max output first recorded at 262.1k tokens · vendor
  • — MMLU first recorded at 86.2% · legacy-discovery
  • — HumanEval first recorded at 89.8% · artificialanalysis
  • — GPQA first recorded at 48.6% · artificialanalysis

Pros

  • 128k token context window for extensive document handling
  • Strong performance on reasoning and mathematics benchmarks
  • Efficient inference with competitive latency
  • Excellent multilingual capabilities
  • Cost-effective compared to some competing flagship models

Cons

  • Smaller knowledge base cutoff compared to some competitors
  • Limited vision/multimodal capabilities compared to GPT-4V or Claude 3.5 Vision

About

Platforms
Web, API
Languages
Multilingual (including English
API Available
Yes
Self-Hosted
Yes
Last Updated
April 8, 2026

Best For

Who it's for

  • Organizations requiring high-quality reasoning at scale
  • Software development teams needing reliable code generation
  • Multilingual applications and global enterprises
  • Technical documentation and knowledge work
  • Long-context document processing

What it does well

  • Enterprise reasoning and analysis
  • Code generation and software development
  • Document summarization and analysis
  • Multilingual customer support
  • Complex mathematical problem-solving

Integrations

LangChainLlamaIndexHugging FaceVS Code

Frequently Asked Questions

Is Mistral Large 2 free?
Mistral Large 2 offers a free option alongside paid upgrades. Pricing: Free. Check the current allowances and terms before choosing a plan.
Is Mistral Large 2 open source?
Yes. Mistral Large 2 is open source — the source repository is at https://github.com/mistralai/mistral-src.
Does Mistral Large 2 have an API?
Yes. Mistral Large 2 exposes a developer API. See the official documentation at https://mistral.ai for details.
Can I self-host Mistral Large 2?
Yes. Mistral Large 2 supports self-hosting on your own infrastructure.
When was Mistral Large 2 released?
Mistral Large 2 was first released in 2024.
What platforms does Mistral Large 2 support?
Mistral Large 2 is available on: Web, API.
paid

Mistral Large 2 is Mistral AI’s flagship LLM, built to deliver advanced capabilities across reasoning, mathematics, coding, and multilingual understanding. It represents a significant upgrade over the original Mistral Large, with improved performance on standardized benchmarks and enhanced instruction-following. The model supports a 128k token context window, enabling processing of long documents and complex multi-turn conversations. Mistral Large 2 is optimized for enterprise applications requiring high-quality generations with low latency, and it maintains Mistral’s commitment to efficient inference. The model excels at handling nuanced instructions and producing coherent, well-structured outputs across diverse domains including creative writing, technical documentation, and data analysis.

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