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Mistral Large 2
Pricing
- Model
- Free
- Price
- Free
Summary
Mistral's open-source flagship competes with Claude and GPT-4 on reasoning, costs nothing, and fits 128k tokens in memory.
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.*
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LLM Spec Sheet
Specializations
Available Models
Benchmarks
Pricing & Limits
- Input price
- $0.50 / 1M tokens
- Output price
- $1.50 / 1M tokens
- Max output tokens
- 262,144
Metrics from vendor, updated .
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Changelog
- — Output price first recorded at $1.50/1M · vendor
- — Input price first recorded at $0.50/1M · vendor
- — Max output first recorded at 262.1k tokens · vendor
- — Context first recorded at 262.1k tokens · vendor
- — MMLU first recorded at 86.2% · legacy-discovery
- — Max output ↓ 262.1k tokens → 8.2k tokens · legacy-discovery
- — Input price ↑ $0.50/1M → $2.00/1M · artificialanalysis
- — Output price ↑ $1.50/1M → $6.00/1M · artificialanalysis
- — Context ↓ 262.1k tokens → 128k tokens · artificialanalysis
- — HumanEval first recorded at 89.8% · artificialanalysis
- — GPQA first recorded at 48.6% · artificialanalysis
Pros
Sign in to edit- 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
Sign in to edit- Smaller knowledge base cutoff compared to some competitors
- Limited vision/multimodal capabilities compared to GPT-4V or Claude 3.5 Vision
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About
- Platforms
- Web, API
- Languages
- Multilingual (including EnglishFrenchSpanishGermanItalianPortugueseDutchRussianChineseJapaneseKoreanArabicand others)
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-04-08T04:59:39.624Z
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
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Frequently Asked Questions
- Is Mistral Large 2 free?
- Yes — Mistral Large 2 is fully free to use. There is no paid tier.
- 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.
Hours Saved & ROI Stories Community
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Curated lists that include this category
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.