Gemini 1.5 Flash-8B vs Gemini 2.0 Flash-Lite: Benchmarks, Pricing, and Context Window Comparison
Gemini 1.5 Flash-8B vs Gemini 2.0 Flash-Lite 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 1.5 Flash-8B 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:
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Overview
Gemini 1.5 Flash-8B was released 2 months before Gemini 2.0 Flash-Lite.
| Gemini 1.5 Flash-8B | Gemini 2.0 Flash-Lite | |
|---|---|---|
Provider The entity that provides this model. | Google | Google |
Input Context Window The number of tokens supported by the input context window. | 1M tokens | 1M tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 8,192 tokens | 8,192 tokens |
Release Date When the model was first released. | Sep 24, 2024 over 1 yearago 2024-09-24 | Dec 11, 2024 over 1 year 2024-12-11 |
Leaderboard
| Gemini 1.5 Flash-8B | Gemini 2.0 Flash-Lite | |
|---|---|---|
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 1.5 Flash-8B | Gemini 2.0 Flash-Lite | |
|---|---|---|
Input Cost of input data provided to the model. | $0.04 per million tokens | $0.075 per million tokens |
Output Cost of output tokens generated by the model. | $0.15 per million tokens | $0.30 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemini 1.5 Flash-8B and Gemini 2.0 Flash-Lite Instruct.
| Gemini 1.5 Flash-8B | Gemini 2.0 Flash-Lite | |
|---|---|---|
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. | 53.7 | 68 |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |