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Gemini 3.6 Flash vs GPT-4o (2024-08-06)

Detailed technical comparison between Gemini 3.6 Flash (Google) and GPT-4o (2024-08-06) (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.6 Flash: 0 WinsvsGPT-4o (2024-08-06): 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

Gemini 3.6 Flash

$1.50 / 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 →
OpenAIactive

GPT-4o (2024-08-06)

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...

View GPT-4o (2024-08-06) Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.6 FlashGPT-4o (2024-08-06)
ProviderGoogleOpenAI
Context Window1,048,576 tokens🏆128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212024-08-06

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.6 Flash

$1.50

GPT-4o (2024-08-06)

$2.50

Output Price per Million Tokens

Gemini 3.6 Flash

$7.50

GPT-4o (2024-08-06)

$10.00

💡 Cost Ratio: Gemini 3.6 Flash is 1.7x cheaper per input token than GPT-4o (2024-08-06).

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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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%vs80.4%+6.8% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆
HumanEvalPython coding & logic synthesis
69.8%vs78.6%+8.8% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆
MATHComplex mathematical problem solving
43.0%vs55.8%+12.8% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆
GPQAGraduate-level expert reasoning
30.4%vs41.2%+10.8% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆
HellaSwagCommonsense reasoning and inference
77.6%vs83.4%+5.8% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% GPT-4o (2024-08-06)
Gemini 3.6 Flash
GPT-4o (2024-08-06) 🏆

Gemini 3.6 Flash Quirks & Gotchas

No developer gotchas reported.

GPT-4o (2024-08-06) Quirks & Gotchas

No developer gotchas reported.

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