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Gemini 3.5 Flash vs Mistral Large 2407

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 2407.

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...

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Mistral

Mistral Large 2407

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/)....

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Technical Specifications

SpecificationGemini 3.5 FlashMistral Large 2407
ProviderGoogleMistral
Context Window1,048,576 tokens131,072 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192024-11-19

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Mistral Large 2407

$2.00

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Mistral Large 2407

$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 2407
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
Mistral Large 2407
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
Mistral Large 2407
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
Mistral Large 2407
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
Mistral Large 2407
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
Mistral Large 2407

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 2407 Quirks & Gotchas

No developer gotchas reported.