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.
Comparison Snapshot
Gemini 3.5 Flash-Lite
1,048,576 tokensTie
Equal CapabilityTie
Equal SpeedGemini 3.5 Flash-Lite
$0.30 / MTokGemini 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.
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. Itβs also better at working with uploaded...
Technical Specifications
π = Superior Spec| Specification | Gemini 3.5 Flash-Lite | GPT-4o (2024-11-20) |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 1,048,576 tokensπ | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-07-21 | 2024-11-20 |
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
π‘ Cost Ratio: Gemini 3.5 Flash-Lite is 8.3x cheaper per input token than GPT-4o (2024-11-20).
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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 (0β100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
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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