Gemini 2.0 Flash-Lite vs Gemini 2.5 Pro: Benchmarks, Pricing, and Context Window Comparison
Gemini 2.0 Flash-Lite vs Gemini 2.5 Pro 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 Gemini 2.5 Pro can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Gemini 2.0 Flash-Lite was released 3 months before Gemini 2.5 Pro.
| Gemini 2.0 Flash-Lite | Gemini 2.5 Pro | |
|---|---|---|
Provider The entity that provides this model. | Google | Google |
Input Context Window The number of tokens supported by the input context window. | 1M tokens | 2M tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 8,192 tokens | 64K tokens |
Release Date When the model was first released. | Dec 11, 2024 over 1 yearago 2024-12-11 | Mar 25, 2025 over 1 year 2025-03-25 |
Leaderboard
| Gemini 2.0 Flash-Lite | Gemini 2.5 Pro | |
|---|---|---|
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 | Gemini 2.5 Pro | |
|---|---|---|
Input Cost of input data provided to the model. | $0.075 per million tokens | $1.25 per million tokens |
Output Cost of output tokens generated by the model. | $0.30 per million tokens | $10.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemini 2.0 Flash-Lite and Gemini 2.5 Pro Instruct.
| Gemini 2.0 Flash-Lite | Gemini 2.5 Pro | |
|---|---|---|
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. | 68 | 81.7 |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |