Model comparison
Gemini 2.0 Flash-Lite vs Gemini 1.5 Flash-8B
- Input
- $0.075 per 1M tokens
- Output
- $0.30 per 1M tokens
- Context
- 1,048,576 tokens (1M)
- Released
- 2025-02-01
- Input
- $0.0375 / 1M tokens (prompts < 128K)
- Output
- $0.15 / 1M tokens (prompts < 128K)
- Context
- 1M
- Released
- 2024-10-03
Gemini 2.0 Flash-Lite scores higher on 2 of the 2 benchmarks both models report; Gemini 1.5 Flash-8B is cheaper on input tokens ($0 vs $0.1 per 1M, 2×); Gemini 2.0 Flash-Lite has the larger context window (1.048576M vs 1M).
Specs and pricing side by side
| Spec | Gemini 2.0 Flash-Lite | Gemini 1.5 Flash-8B |
|---|---|---|
| Maker | Googlesame | |
| Released | 2025-02-01 | 2024-10-03 |
| Context window | 1,048,576 tokens (1M) | 1M |
| Max output | 8,192 tokens | 8K |
| Input price | $0.075 per 1M tokens | $0.0375 / 1M tokens (prompts < 128K) |
| Output price | $0.30 per 1M tokens | $0.15 / 1M tokens (prompts < 128K) |
| Parameters | not published | ~8B (single-digit billions; exact count undisclosed) |
| License | Proprietary | Proprietarysame |
| Weights | API only | API onlysame |
| Modalities | Text, Image, Audio, Video | Text, Vision, Audio, Video |
| Knowledge cutoff | June 2024 | August 2024 |
Benchmarks both models report
| Benchmark | Gemini 2.0 Flash-Lite | Gemini 1.5 Flash-8B |
|---|---|---|
| MATH | 86.8% | 35.9% |
| MMMU | 68% | 50.3% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Gemini 2.0 Flash-Lite if…
- You care about MATH, MMMU (it scores higher on 2 shared benchmarks).
- You need the longer context (1.048576M vs 1M).
- You need Image input, which Gemini 1.5 Flash-8B lacks.
- Your use case is: high-volume text generation such as captioning, tagging, and summarization at scale.
Pick Gemini 1.5 Flash-8B if…
- Cost matters: input tokens cost 2× less ($0 vs $0.1 per 1M).
- You need Vision input, which Gemini 2.0 Flash-Lite lacks.
- Your use case is: high-volume chat, summarization, and classification where cost-per-token dominates.
FAQ
Which is better, Gemini 2.0 Flash-Lite or Gemini 1.5 Flash-8B?
Gemini 2.0 Flash-Lite scores higher on 2 of the 2 benchmarks both models report; Gemini 1.5 Flash-8B is cheaper on input tokens ($0 vs $0.1 per 1M, 2×); Gemini 2.0 Flash-Lite has the larger context window (1.048576M vs 1M). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Gemini 1.5 Flash-8B?
Gemini 2.0 Flash-Lite: $0.075 per 1M tokens input, $0.30 per 1M tokens output. Gemini 1.5 Flash-8B: $0.0375 / 1M tokens (prompts < 128K) input, $0.15 / 1M tokens (prompts < 128K) output (list API prices as published by each maker).
What are the context windows of Gemini 2.0 Flash-Lite and Gemini 1.5 Flash-8B?
Gemini 2.0 Flash-Lite offers 1,048,576 tokens (1M) with up to 8,192 tokens output; Gemini 1.5 Flash-8B offers 1M with up to 8K output.
Is Gemini 2.0 Flash-Lite newer than Gemini 1.5 Flash-8B?
Gemini 2.0 Flash-Lite was released 2025-02-01; Gemini 1.5 Flash-8B was released 2024-10-03.