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

Gemini 3.6 Flash vs GPT-4o-mini

Detailed technical comparison between Gemini 3.6 Flash (Google) and GPT-4o-mini (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Gemini 3.6 Flash: 0 WinsvsGPT-4o-mini: 6 Wins
Context Leader

Gemini 3.6 Flash

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / MTok
Googleactive

Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

View Gemini 3.6 Flash Full Specs โ†’
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemini 3.6 FlashGPT-4o-mini
ProviderGoogleOpenAI
Context Window1,048,576 tokens๐Ÿ†128,000 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212024-07-18

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.6 Flash

$1.50

GPT-4o-mini

$0.15

Output Price per Million Tokens

Gemini 3.6 Flash

$7.50

GPT-4o-mini

$0.60

๐Ÿ’ก Cost Ratio: GPT-4o-mini is 10.0x cheaper per input token than Gemini 3.6 Flash.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
73.6%vs82.0%+8.4% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†
HumanEvalPython coding & logic synthesis
69.8%vs84.0%+14.2% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†
MATHComplex mathematical problem solving
43.0%vs70.2%+27.2% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†
GPQAGraduate-level expert reasoning
30.4%vs45.0%+14.6% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†
HellaSwagCommonsense reasoning and inference
77.6%vs84.7%+7.1% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% GPT-4o-mini
Gemini 3.6 Flash
GPT-4o-mini ๐Ÿ†

Gemini 3.6 Flash Quirks & Gotchas

No developer gotchas reported.

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

Explore Other Popular Comparisons