Mistral AI API Pricing

European-built AI models โ€” 10 models from $0.10 to $7.50 per 1M tokens

10
Models
$0.10โ€“$7.50
per 1M tokens
128Kโ€“256K
Context window
Jul 2026
Pricing Verified
Model Input (per 1M tokens) Output (per 1M tokens) Context Window Tier
General Purpose
Mistral Medium 3.5 $1.50 $7.50 128K Mid
Mistral Large 3 $0.50 $1.50 262K Budget
Mistral Small 4 $0.15 $0.60 128K Budget
Reasoning (Magistral)
Magistral Medium $2.00 $5.00 256K Mid
Magistral Small $0.50 $1.50 256K Budget
Coding (Devstral)
Devstral 2 $0.40 $2.00 128K Budget
Devstral Small 2 $0.10 $0.30 128K Budget
Codestral $0.30 $0.90 256K Budget
Edge (Ministral)
Ministral 3 14B $0.20 $0.20 128K Budget
Ministral 3 8B $0.15 $0.15 128K Budget

Why Mistral?

European-built AI models designed for cost-conscious developers who need reliable performance.

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European Data Sovereignty

Mistral is headquartered in Paris and stores data in Europe. Ideal for GDPR-sensitive workloads and EU-based companies that need to comply with strict data residency requirements.

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Open-Source Heritage

Mistral releases open-weight models alongside their API, giving you the flexibility to self-host or switch providers. No vendor lock-in โ€” deploy on your own infrastructure if needed.

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Competitive Pricing

Mistral Large 3 at $0.50/$1.50 per 1M tokens is one of the cheapest mid-capable models available. Devstral Small 2 at $0.10/$0.30 is the cheapest coding model. Ministral 3 8B at $0.15/$0.15 is ideal for edge deployment. Magistral Medium at $2.00/$5.00 brings reasoning capabilities at competitive prices.

Which Mistral Model Should You Use?

Mistral offers four model families for different workloads.

๐Ÿง  Magistral (Reasoning)

$0.50โ€“$2.00 input / $1.50โ€“$5.00 output per 1M tokens
  • 256K context window
  • Specialized for complex reasoning
  • Math, coding, and logic tasks
  • Open-weight under Apache 2.0
Best for: Multi-step reasoning, mathematical proofs, and complex problem-solving. Magistral Small at $0.50/$1.50 is the budget option; Medium at $2.00/$5.00 for harder problems.

๐Ÿ’ป Devstral (Coding)

$0.10โ€“$0.40 input / $0.30โ€“$2.00 output per 1M tokens
  • 128Kโ€“256K context window
  • Code generation and software engineering
  • Devstral Small 2 is cheapest coding model
  • Codestral for code-specific tasks
Best for: Code generation, refactoring, and software engineering tasks. Devstral Small 2 at $0.10/$0.30 is the cheapest coding model available.

โšก Mistral General Purpose

$0.15โ€“$1.50 input / $0.60โ€“$7.50 output per 1M tokens
  • 128Kโ€“262K context window
  • Large 3, Medium 3.5, Small 4
  • Multilingual and multimodal
  • Open-weight models available
Best for: General chat, summarization, and document analysis. Large 3 at $0.50/$1.50 is the best value mid-tier model.

๐Ÿ“ฑ Ministral (Edge)

$0.15โ€“$0.20 input / $0.15โ€“$0.20 output per 1M tokens
  • 128K context window
  • 3B, 8B, and 14B parameter sizes
  • Optimized for on-device deployment
  • Low latency and cost
Best for: Edge and on-device inference, mobile apps, and latency-sensitive workloads. Ministral 3 8B at $0.15/$0.15 is the sweet spot.

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Mistral vs Competitors

How Mistral pricing stacks up against other major LLM providers.

Provider Model Input (per 1M tokens) Output (per 1M tokens) Context Window
Mistral Large $0.50 $1.50 128K
OpenAI GPT-4o $2.50 $10.00 128K
Anthropic Claude Sonnet 4.6 $3.00 $15.00 200K
Google Gemini 2.5 Pro $1.25 $10.00 1M
Mistral Small $0.15 $0.60 128K
OpenAI GPT-4o mini $0.15 $0.60 128K
Google Gemini 2.5 Flash-Lite $0.10 $0.40 1M
Anthropic Claude Haiku 4.5 $0.80 $4.00 200K
Compare Mistral Models Side-by-Side

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Related Reading

Deep dives into Mistral pricing and how it compares to other providers.

Mistral vs GPT-4o: Can the European Challenger Beat OpenAI on Price?

A pricing and capability comparison between Mistral Large 3/Small and GPT-4o/GPT-4o mini for cost-conscious developers. Includes real-world cost breakdowns for chatbots, code generation, and document analysis.

Read the full comparison →

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