mistral (Mistral AI Chat Models)
This example demonstrates Mistral AI's chat models, including Magistral reasoning models, current multimodal models, and shows how to use Mistral models for evaluation grading and embeddings.
You can run this example with:
npx promptfoo@latest init --example mistral
cd mistral
Environment Variables
This example requires:
MISTRAL_API_KEY- Your Mistral API key (get it from console.mistral.ai)
What This Example Shows
- Mathematical Reasoning: AIME2024 competition problems with Magistral Medium
- Model Comparison: Compare Mistral's different model capabilities
- Reasoning Models: Showcase Magistral Medium (native reasoning) vs. Mistral Small 4
- Chat Capabilities: General conversation and task completion
- Mistral-powered Evaluation: Use Mistral models for grading instead of OpenAI
- Mistral Embeddings: Use Mistral's embedding model for similarity checks
Models Demonstrated
Reasoning Models
- Magistral Medium (
magistral-medium-latest→magistral-medium-2509): Native reasoning model ($2/$5 per 1M tokens, 128k context) — the reasoning showcase in these examples.
Mistral folded Magistral Small into Mistral Small 4: the
magistral-small-latestalias now resolves tomistral-small-2603(a hybrid model, $0.15/$0.60 per 1M), so these examples use the canonicalmistral-small-latestid. Enable Small 4's reasoning mode withreasoning_effort: high. The standalonemagistral-small-2509snapshot is deprecated (retires 2026-07-31).
Chat Models
- Mistral Medium 3.5 (
mistral-medium-latest→mistral-medium-2604): Frontier agentic/coding multimodal model ($1.50/$7.50 per 1M, 256k context) - Mistral Large 3 (
mistral-large-latest→mistral-large-2512): General-purpose multimodal model ($0.50/$1.50 per 1M, 256k context) - Mistral Small 4 (
mistral-small-latest→mistral-small-2603): Hybrid instruct/reasoning/coding model ($0.15/$0.60 per 1M, 256k context)
Evaluation Models
- Grading: Uses
mistral-large-latestfor LLM-as-a-judge evaluation - Embeddings: Uses
mistral-embedfor semantic similarity checks
Key Features Demonstrated
- Multi-model comparison: Compare performance across different Mistral models
- Reasoning capabilities: Step-by-step problem solving with Magistral models
- Cost optimization: Balance performance vs. cost across model tiers
- Self-evaluation: Use Mistral models to grade their own outputs
- Semantic similarity: Mistral embeddings for content comparison
Running the Example
# Set your API key
export MISTRAL_API_KEY=your_api_key_here
# Run the evaluation
promptfoo eval
# View results in the web UI
promptfoo view
Configuration Highlights
This example showcases several advanced promptfoo features:
- Provider overrides for grading and embeddings
- Multiple assertion types including llm-rubric and similarity
- Cost tracking across different model tiers
- Mixed scenarios from simple chat to complex reasoning
The evaluation uses Mistral models end-to-end, providing a comprehensive view of their ecosystem capabilities.
Available Configurations
This example includes multiple configuration files for different use cases:
Mathematical Reasoning
promptfooconfig.aime2024.yaml- Advanced mathematical competition problems (AIME2024 dataset)promptfooconfig.reasoning.yaml- Step-by-step logical problem solving
Model Capabilities
promptfooconfig.comparison.yaml- Compare reasoning across all Mistral modelspromptfooconfig.code-generation.yaml- Multi-language programming with Codestralpromptfooconfig.multimodal.yaml- Vision and text processing with current Mistral multimodal models
Advanced Features
promptfooconfig.tool-use.yaml- Function calling and tool integrationpromptfooconfig.tool-routing.yaml- End-to-end QA for tool-only, mixed content+tool_calls, file-based tools, and plain chat outputpromptfooconfig.json-mode.yaml- Structured JSON output generationpromptfooconfig.yaml- Main example with evaluation using Mistral models
Run any specific configuration:
npx promptfoo@latest eval -c promptfooconfig.aime2024.yaml # Mathematical reasoning
npx promptfoo@latest eval -c promptfooconfig.comparison.yaml # Model comparison
Additional Resources
- Mistral Provider Documentation - Complete API reference and configuration options
- Mistral Magistral Announcement - Official announcement and technical details