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Gemini 2.0 Flash-Lite vs GPT-4o mini: Benchmarks, Pricing, and Context Window Comparison

Gemini 2.0 Flash-Lite vs GPT-4o mini compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Gemini 2.0 Flash-Lite has lower listed token pricing, while GPT-4o mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
Gemini 2.0 Flash-Lite
to
GPT-4o mini
Overview
Gemini 2.0 Flash-Lite was released 5 months after GPT-4o mini.
Gemini 2.0 Flash-Lite
GPT-4o mini
Provider
The entity that provides this model.
Google
OpenAI
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
128000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
16,384
tokens
Release Date
When the model was first released.
2024-12-11
2024-07-18
Leaderboard
Gemini 2.0 Flash-Lite
GPT-4o mini
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
Gemini 2.0 Flash-Lite
GPT-4o mini
Input
Cost of input data provided to the model.
$0.075
per million tokens
$0.15
per million tokens
Output
Cost of output tokens generated by the model.
$0.30
per million tokens
$0.60
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 2.0 Flash-Lite and GPT-4o mini Instruct.
Gemini 2.0 Flash-Lite
GPT-4o mini
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
82
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
59.4
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.