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Gemini 3.5 Flash vs GPT-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 3.5 Flash and GPT-4.

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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OpenAI

GPT-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

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Technical Specifications

SpecificationGemini 3.5 FlashGPT-4
ProviderGoogleOpenAI
Context Window1,048,576 tokens8,191 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192023-05-28

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

GPT-4

$30.00

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

GPT-4

$60.00

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
GPT-4
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
GPT-4
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
GPT-4
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
GPT-4
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
GPT-4
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
GPT-4

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

GPT-4 Quirks & Gotchas

No developer gotchas reported.