For Developers/Models/Compare/Claude Haiku 4.5 vs Mistral Large

Claude Haiku 4.5 vs Mistral Large

2026 - Pricing, benchmarks, and use case comparison

Quick take

  • Claude Haiku 4.5 is 73% cheaper on input tokens - better for high-volume workloads.
  • Claude Haiku 4.5 has a 200K context window - 2x larger than Mistral Large's 128K. Better for long documents and large codebases.

Specs comparison

Claude Haiku 4.5Mistral Large
ProviderAnthropicMistral AI
TypeClosed sourceClosed source
Context window200K128K
Input / 1M tokens$0.80$3.00
Output / 1M tokens$4.00$9.00
Release date2025-102024-07

Benchmarks

BenchmarkClaude Haiku 4.5Mistral Large
MMLU~82%84.0%
HumanEval~88%92.0%

Scores sourced from official provider release posts.

Strengths

Claude Haiku 4.5

  • Lowest latency in the Claude lineup
  • Extremely cost-effective at scale
  • Strong at classification and extraction
  • Good at following structured output schemas
  • Handles 200K context at low cost

Mistral Large

  • Native multilingual support across 12+ languages
  • Reliable function calling and tool use
  • Strong coding across 80+ programming languages
  • EU-based inference for data compliance
  • 128K context at competitive pricing

Which should you choose?

Choose Claude Haiku 4.5 if you need...

  • High-volume API pipelines
  • Real-time classification
  • Form and document extraction
  • Low-latency chatbots
Full Claude Haiku 4.5 details →

Choose Mistral Large if you need...

  • Multilingual European deployments
  • Tool-calling and agentic pipelines
  • Code generation and review
  • GDPR-compliant AI applications
Full Mistral Large details →

Compare Claude Haiku 4.5 with others