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

Gemini 3.1 Pro vs Mistral Small 4

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 3.1 Pro and Mistral Small 4.

Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

View Full Specs
Mistral

Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

View Full Specs

Technical Specifications

SpecificationGemini 3.1 ProMistral Small 4
ProviderGoogleMistral
Context Window2,000,000 tokens262,144 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202026-03-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Mistral Small 4

$0.15

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Mistral Small 4

$0.60

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
9280.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4
HumanEvalPython coding & logic synthesis
9460.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4
MATHComplex mathematical problem solving
8800.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4
GPQAGraduate-level expert reasoning
8130.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4
HellaSwagCommonsense reasoning and inference
9840.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
Gemini 3.1 Pro
Mistral Small 4

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

Mistral Small 4 Quirks & Gotchas

No developer gotchas reported.