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Gemini 3.5 Flash-Lite vs GPT-4o (2024-08-06)

Detailed technical comparison between Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite: 0 WinsvsGPT-4o (2024-08-06): 6 Wins
Context Leader

Gemini 3.5 Flash-Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemini 3.5 Flash-Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite 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 3.5 Flash-LiteGPT-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 3.5 Flash-Lite

$0.30

GPT-4o (2024-08-06)

$2.50

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

GPT-4o (2024-08-06)

$10.00

💡 Cost Ratio: Gemini 3.5 Flash-Lite is 8.3x 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
73.2%vs80.4%+7.2% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆
HumanEvalPython coding & logic synthesis
69.4%vs78.6%+9.2% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆
MATHComplex mathematical problem solving
42.6%vs55.8%+13.2% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆
GPQAGraduate-level expert reasoning
30.0%vs41.2%+11.2% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs83.4%+6.2% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% GPT-4o (2024-08-06)
Gemini 3.5 Flash-Lite
GPT-4o (2024-08-06) 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

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

No developer gotchas reported.

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