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Gemini 3.1 Pro vs GPT Audio Mini

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 GPT Audio Mini.

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.

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OpenAI

GPT Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...

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Technical Specifications

SpecificationGemini 3.1 ProGPT Audio Mini
ProviderGoogleOpenAI
Context Window2,000,000 tokens128,000 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202026-01-19

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

GPT Audio Mini

$0.60

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

GPT Audio Mini

$2.40

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

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

GPT Audio Mini Quirks & Gotchas

No developer gotchas reported.