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

Gemini 3.5 Flash vs Mistral Large

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 Gemini 3.5 Flash and Mistral Large.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

View Full Specs
Mistral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

View Full Specs

Technical Specifications

SpecificationGemini 3.5 FlashMistral Large
ProviderGoogleMistral
Context Window1,048,576 tokens128,000 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192024-02-26

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Mistral Large

$2.00

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Mistral Large

$6.00

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.

MMLUGeneral knowledge & multi-task understanding
9050.0%vsN/A
Gemini 3.5 Flash
Mistral Large
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
Mistral Large
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
Mistral Large
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
Mistral Large
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
Mistral Large
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
Mistral Large

Gemini 3.5 Flash Quirks & Gotchas

  • โ–ธExcellent multimodal performance โ€” native video understanding
  • โ–ธTool calling via Google's native function_declarations in Vertex AI

Mistral Large Quirks & Gotchas

No developer gotchas reported.