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Gemini 3.6 Flash vs o1

Detailed technical comparison between Gemini 3.6 Flash (Google) and o1 (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 Winsvso1: 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

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

View o1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.6 Flasho1
ProviderGoogleOpenAI
Context Window1,048,576 tokens🏆200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212024-12-17

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.6 Flash

$1.50

o1

$15.00

Output Price per Million Tokens

Gemini 3.6 Flash

$7.50

o1

$60.00

💡 Cost Ratio: Gemini 3.6 Flash is 10.0x cheaper per input token than o1.

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%vs91.8%+18.2% o1
Gemini 3.6 Flash
o1 🏆
HumanEvalPython coding & logic synthesis
69.8%vs94.5%+24.7% o1
Gemini 3.6 Flash
o1 🏆
MATHComplex mathematical problem solving
43.0%vs94.8%+51.8% o1
Gemini 3.6 Flash
o1 🏆
GPQAGraduate-level expert reasoning
30.4%vs78.3%+47.9% o1
Gemini 3.6 Flash
o1 🏆
HellaSwagCommonsense reasoning and inference
77.6%vs92.0%+14.4% o1
Gemini 3.6 Flash
o1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs9.4%+1.4% o1
Gemini 3.6 Flash
o1 🏆

Gemini 3.6 Flash Quirks & Gotchas

No developer gotchas reported.

o1 Quirks & Gotchas

  • ▸Reasoning model — high latency by design, not for real-time use
  • ▸Best for complex math/code reasoning where accuracy > speed
  • ▸Use o3-mini when you need reasoning with lower latency

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