LLM comparison · detail

Gemini 3.6 Flash

Provider: Google

Model type: specialist Budget: cheap at volume Use it for: large batches Use it for: company knowledge Use it for: fast replies

batch pick backed by current AA.

Verdict “Gemini 3.6 Flash has IQ 34 and input $0.75/M in the sources. Consider it for large batches, company knowledge; for deep-coding, real-time-latency, run a second benchmark before rollout.”

Snapshot summary

Google positions Gemini as a model layer for its cloud, workspace and multimodal ecosystem, so it covers text, large context, video, audio and vision. Gemini 3.6 Flash is the faster and cheaper Gemini worker layer. It fits routing, extraction, batch jobs and tasks where latency and cost beat absolute reasoning.

In this compare snapshot it is tagged mainly for batch, rag, real-time, with price tier cheap and context window is unavailable in verified data. The negative side matters too: watch deep-coding, real-time-latency. Use the numbers below as the hard boundary, because this profile explains the model, it does not replace benchmark provenance.

Figures below, fetched from source artificial_analysis (fetched 2026-09-24T04:00:35Z).

Snapshot figures

$0.75/M input artificial_analysis:gemini-3-6-flash

$3.75/M output artificial_analysis:gemini-3-6-flash

34 intelligence index artificial_analysis:gemini-3-6-flash

What this means

✓ Good for: large batches · company knowledge · fast replies

✗ Not for: hard coding work · strict latency

Source and provenance

Data source: artificial_analysis
Fetched: 2026-09-24T04:00:35Z
Status per metric: price: artificial_analysis:gemini-3-6-flash; IQ: artificial_analysis:gemini-3-6-flash; Elo: curated_seed; Aider: curated_seed; DeepSWE: curated_seed

This page shows only verified data from the current snapshot.