Mistral

Mistral LargeOpen

Mistral Large by Mistral.

#713released Jan 1, 2025·Open Weights·Not disclosed
text131K ctx
API providersGet API Key →Leaderboard
Intelligence
4.1 #713
Top 93% tier
Output Speed
100 t/s
ITL 10.0 ms/tok
Blended price (3:1)
$3 /1M
In $2/M · Out $6/M
Context
131K
≈ 328 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Mistral Large
Claude Mythos Preview (#1)
Average (68)
Coding (40)Mathematics (15)Hard Science (GPQA) (35)Agentic & Tool Use (20)Knowledge (MMLU) (45)Vision / Multimodal (30)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • Cheap prompt-cache reads at $0.2/1M

Killer Use Cases

Deep research
Synthesis across broad knowledge domains with citation-grade recall.

Developer Quickstart & API

Set MISTRAL_API_KEY first — get an API key
curl https://api.mistral.ai/v1/chat/completions \
  -H "Authorization: Bearer $MISTRAL_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "mistral-large",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
  • Prompt caching supported — cached input reads at $0.2/1M tokens.
Release date
Jan 1, 2025
Parameters
Not disclosed
License
Open Weights
Context Window
131,000 tokens
Max Output
8,192 tokens
Modalities
text
Cache Pricing
read $0.2 · write $2.5 /1M
Reasoning
—
Input Price
$2/M
Output Price
$6/M
Output Speed
100 t/s
Time to First Token
—
Data Updated
Aug 14, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026mistrallarge,
  title = {Benchmark Analysis and Intelligence Evaluation of Mistral Large},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/mistral-large}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Mistral Large LLMPodium Score
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