LLM AtlasLLM AtlasSearch models

Google DeepMind

Gemini 1.5 Flash-8B

Overall 73commercial

Google's lightweight Gemini 1.5 Flash-8B for ultra-fast, cost-efficient inference.

Last verified: 2026-03-29Confidence: HighSources: 3
textvisionaudiovideotool-use
Input price
$0.00/1K tok
Output price
$0.0002/1K tok
Context window
1,048,576
Max output
8,192
Release date
2024-09-24
Access
api, hosted
License
Proprietary / not disclosed
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

Designed for latency-critical, budget-sensitive workloads.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • Ultra-low cost
  • Fastest inference

Trade-offs

  • Significantly lower quality than larger models

Crawlable benchmark analysis

Gemini 1.5 Flash-8B is positioned as a multimodal api model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 62/100, coding 55/100, enterprise readiness 74/100, vision 60/100, speed 97/100, and safety 74/100.

Pricing starts at $0.00 per 1K input tokens and $0.0002 per 1K output tokens. With a context window of 1,048,576 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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