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Gemini 3.5 Flash-Lite vs GPT-4o-mini

Detailed technical comparison between Gemini 3.5 Flash-Lite (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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.5 Flash-Lite: 0 WinsvsGPT-4o-mini: 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

GPT-4o-mini

$0.15 / 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-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 →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.5 Flash-LiteGPT-4o-mini
ProviderGoogleOpenAI
Context Window1,048,576 tokens🏆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 3.5 Flash-Lite

$0.30

GPT-4o-mini

$0.15

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

GPT-4o-mini

$0.60

💡 Cost Ratio: GPT-4o-mini is 2.0x cheaper per input token than Gemini 3.5 Flash-Lite.

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%vs82.0%+8.8% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆
HumanEvalPython coding & logic synthesis
69.4%vs84.0%+14.6% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆
MATHComplex mathematical problem solving
42.6%vs70.2%+27.6% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆
GPQAGraduate-level expert reasoning
30.0%vs45.0%+15.0% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs84.7%+7.5% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% GPT-4o-mini
Gemini 3.5 Flash-Lite
GPT-4o-mini 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

GPT-4o-mini Quirks & Gotchas

  • ▸Ultra-low latency — best TTFT in the OpenAI lineup
  • ▸Tool calling limited to single-step — not suitable for complex agentic pipelines

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