โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5 Chat vs Mistral Large 2

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5 Chat and Mistral Large 2.

OpenAI

GPT-5 Chat

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

View Full Specs
Mistral

Mistral Large 2

Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling โ€” making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.

View Full Specs

Technical Specifications

SpecificationGPT-5 ChatMistral Large 2
ProviderOpenAIMistral
Context Window128,000 tokens1,048,576 tokens
Agent SuitabilityN/A93/100
Time to First Token (TTFT)N/A270 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072025-07-24

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Chat

$1.25

Mistral Large 2

$0.60

Output Price per Million Tokens

GPT-5 Chat

$10.00

Mistral Large 2

$1.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GPT-5 Chat Quirks & Gotchas

No developer gotchas reported.

Mistral Large 2 Quirks & Gotchas

  • โ–ธExcellent European data sovereignty โ€” GDPR-compliant infrastructure
  • โ–ธ1M context window enables full codebase analysis in a single pass