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Efficient

Gemini 1.5 Flash-8B

Nano

Smallest Gemini 1.5, 8B parameters, distilled for ultra-cheap inference. Punches above its size on routing/classification.

Gemini 1.5 Flash-8B is a efficient AI model from Google. It costs $0.037 per million input tokens and $0.150 per million output tokens (blended $0.071/M), with a 1,000,000-token context window.

INPUT
$0.037/M
per million input tokens
OUTPUT
$0.150/M
per million output tokens
BLENDED 70/30
$0.071/M
unchanged since 3 May
CONTEXT
1,000,000
tokens
What it is good at
  • Very cheap
  • Sub-100ms latency on most tokens
  • 1M context
Typical use cases
  • Routing layer
  • Bulk classification
  • Edge-style inference

Benchmarks

vs. best public score
MMLU70%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH58%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1175 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Gemini 1.5 Flash-8B cost?

Gemini 1.5 Flash-8B costs $0.037 per million input tokens and $0.150 per million output tokens, for a blended reference rate of $0.071 per million tokens.

What is Gemini 1.5 Flash-8B's context window?

Gemini 1.5 Flash-8B supports up to 1,000,000 tokens of context in a single request.

What is Gemini 1.5 Flash-8B best for?

Gemini 1.5 Flash-8B is well suited to Very cheap, Sub-100ms latency on most tokens and 1M context.

Who makes Gemini 1.5 Flash-8B?

Gemini 1.5 Flash-8B is developed and served by Google. It was released in Oct 2024.

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