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Gemini 2.0 Flash-Lite vs GPT-4 Turbo 2024-04-09: Benchmarks, Pricing, and Context Window Comparison

Gemini 2.0 Flash-Lite vs GPT-4 Turbo 2024-04-09 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-4 Turbo 2024-04-09 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-4 Turbo 2024-04-09
Overview
Gemini 2.0 Flash-Lite was released 9 months after GPT-4 Turbo 2024-04-09.
Gemini 2.0 Flash-Lite
GPT-4 Turbo 2024-04-09
Provider
The entity that provides this model.
Google
OpenAI
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
4,096
tokens
Release Date
When the model was first released.
2024-12-11
2024-04-09
Leaderboard
Gemini 2.0 Flash-Lite
GPT-4 Turbo 2024-04-09
Rank
Unknown
1
Arena Elo
Not specified.
1257
95% CI
Not specified.
+4/-3
Votes
Not specified.
30562
License
Not specified.
Proprietary
Knowledge Cutoff
Unknown
12/2023
Pricing
Gemini 2.0 Flash-Lite
GPT-4 Turbo 2024-04-09
Input
Cost of input data provided to the model.
$0.075
per million tokens
$10.00
per million tokens
Output
Cost of output tokens generated by the model.
$0.30
per million tokens
$30.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 2.0 Flash-Lite and GPT-4 Turbo 2024-04-09 Instruct.
Gemini 2.0 Flash-Lite
GPT-4 Turbo 2024-04-09
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.