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Gemini 3.5 Flash-Lite vs GPT-4o (2024-11-20)

Detailed technical comparison between Gemini 3.5 Flash-Lite (Google) and GPT-4o (2024-11-20) (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 (2024-11-20): 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 β†’
OpenAIactive

GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

View GPT-4o (2024-11-20) Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGemini 3.5 Flash-LiteGPT-4o (2024-11-20)
ProviderGoogleOpenAI
Context Window1,048,576 tokensπŸ†128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212024-11-20

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash-Lite

$0.30

GPT-4o (2024-11-20)

$2.50

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

GPT-4o (2024-11-20)

$10.00

πŸ’‘ Cost Ratio: Gemini 3.5 Flash-Lite is 8.3x cheaper per input token than GPT-4o (2024-11-20).

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 (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%vs78.4%+5.2% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†
HumanEvalPython coding & logic synthesis
69.4%vs76.6%+7.2% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†
MATHComplex mathematical problem solving
42.6%vs53.8%+11.2% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†
GPQAGraduate-level expert reasoning
30.0%vs39.2%+9.2% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†
HellaSwagCommonsense reasoning and inference
77.2%vs81.4%+4.2% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†
MT-BenchMulti-turn conversation flow quality
8.0%vs8.4%+0.4% GPT-4o (2024-11-20)
Gemini 3.5 Flash-Lite
GPT-4o (2024-11-20) πŸ†

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

GPT-4o (2024-11-20) Quirks & Gotchas

No developer gotchas reported.

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