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Gemini 2.0 Flash-Lite vs Gemma 2 9B: Benchmarks, Pricing, and Context Window Comparison

Gemini 2.0 Flash-Lite vs Gemma 2 9B 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

Gemma 2 9B has lower listed token pricing, while Gemini 2.0 Flash-Lite can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Gemini 2.0 Flash-Lite
to
Gemma 2 9B
Overview
Gemini 2.0 Flash-Lite was released 6 months after Gemma 2 9B.
Gemini 2.0 Flash-Lite
Gemma 2 9B
Provider
The entity that provides this model.
Google
Google
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
8,192
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
Not specified.
Release Date
When the model was first released.
2024-12-11
2024-06-27
Leaderboard
Gemini 2.0 Flash-Lite
Gemma 2 9B
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
Gemma 2 9B
Input
Cost of input data provided to the model.
$0.075
per million tokens
$0.06
per million tokens
Output
Cost of output tokens generated by the model.
$0.30
per million tokens
$0.06
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 2.0 Flash-Lite and Gemma 2 9B Instruct.
Gemini 2.0 Flash-Lite
Gemma 2 9B
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
71.3
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
68
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
81.9
(10-shot)
Source

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Mirai Minds