Mistral Large 2: Pricing, Context, and Benchmarks

Mistral Large 2 is Mistral AI's Mistral Large model released on 2024-07-24. It runs on a 128K-token context window, priced at $2.00/M input and $6.00/M output. Mistral's flagship. Particularly strong on multilingual tasks (European languages).

Input
$2.00/M
Output
$6.00/M
Context
128K
Max output
8K

Specifications

ProviderMistral AI
FamilyMistral Large
Released2024-07-24
Statusactive
Context window128K tokens
Max output8K tokens
Modalitiestext
Capabilities function calling json mode streaming
Tokenizermistral
API endpointhttps://api.mistral.ai/v1/chat/completions
DocumentationOfficial docs ↗
Last updated2026-05-29

Benchmark scores

BenchmarkCategoryScoreMeasuredSource
HumanEval coding 92.0 2024-07-24
MMLU general 84.0 2024-07-24

Scores reflect single measurements on the date shown. Reproducibility varies; consult the linked source for methodology. Use the comparison tool for side-by-side analysis.

Cost calculator

For 1,000 tokens of input and 1,000 tokens of output per call, this model costs $0.0080 per call. For typical usage:

WorkloadTokens / call (in/out)$/call$/1K calls$/1M calls
Short Q&A 200 / 100 $0.001000 $1.00 $1,000
Standard chat 1K / 500 $0.005000 $5.00 $5,000
RAG with retrieval 4K / 500 $0.011000 $11.00 $11,000
Long doc summary 20K / 1K $0.046000 $46.00 $46,000
Long context (100K input) 100K / 2K $0.209000 $209.00 $209,000

For more precise estimates including caching discounts, use the LLM API Cost Calculator.

Other Mistral AI models

Common comparisons

API setup

curl https://api.mistral.ai/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "mistral-large-2", "messages": [{"role": "user", "content": "Hello"}]}'

See the official documentation for the full request/response schema. For pre-flight token counting before paying, use the appropriate token counter.