Models / Google

Gemini 3.5 Flash

Gemini · Released 2026-05-19

Google's fastest frontier-tier model.

Default model for high-throughput, low-latency tool use: search agents, batch classification, real-time customer-facing apps. The cost-per-1M gap to Opus 4.8 is roughly 50× on input and 60× on output.

Composite56
Context1M
Input / 1M$0.30
Output / 1M$1.2
Knowledge cutoff2026-03-01
Output speed189 t/s
Statussolid

Family profile

Best published score in each covered benchmark family.

63/100 avg
Knowledge
52
Reasoning
74
Math
39
Coding
54
Multimodal
84
Long context
73

6 tested benchmark families

Editor's note
3.5 Flash is the model we recommend for high-volume tool use. The cost-per-1M gap to Opus 4.8 is roughly 50× on input and 60× on output — a meaningful line item for any team running agents at scale.
Benchmark placements

Where Gemini 3.5 Flash places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.

BenchmarkFamilyRankScoreSourceDate
MMMU-ProMultimodal#3/ 884Artificial Analysis — MMMU-Pro2026-09-01
AA-OmniscienceKnowledge#6/ 1252Artificial Analysis — AA-Omniscience2026-09-01
DeepSWECoding#8/ 837DeepSWE leaderboard v1.12026-06-20
FrontierMathMath#10/ 1539Epoch AI FrontierMath Tiers 1-3 (v2) CSV2026-08-15
AA output speedPerformance#19/ 195Artificial Analysis2026-10-12
Humanity's Last ExamReasoning#28/ 18643Artificial Analysis2026-09-28
SciCodeCoding#30/ 9754Artificial Analysis2026-09-28
AA-LCRLong context#101/ 18473Artificial Analysis2026-09-28
GPQA DiamondReasoning#158/ 18474Artificial Analysis GPQA Diamond evaluation2026-06-09
Family context

The three highest-scoring models with pages in each capability family. Where Gemini 3.5 Flash shows up, it's highlighted.

Newest receipts

Benchmark rows added to the public ledger for Gemini 3.5 Flash in the last 120 days. Older rows live in the full table below.

7 recent
Family coverage

A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.

Knowledge52
Reasoning74
Math39
Coding54
Multimodal84
Long context73
Price vs. performance
0255075100$0.10$0.30$1$3$10$30input USD / 1M tokens · log scale →← intelligence

Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.

AnthropicOpenAIGoogleAlibabaMetaZhipuxAIDeepSeekMiniMaxXiaomiMoonshotOtherMeituanMistralNVIDIACohere

Full benchmark ledger

Every catalog benchmark for Gemini 3.5 Flash. Scores link to the original source; gaps mean no public row exists yet.

9 sourced rows

9 of 13 catalog benchmarks have a sourced row for Gemini 3.5 Flash.

Knowledge

Reasoning

Math

Coding

Multimodal

Long context

Performance

Sources

Questions this model page answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

What is Gemini 3.5 Flash?

Gemini 3.5 Flash is a Google model: Google's fastest frontier-tier model.

What is Gemini 3.5 Flash for?

Default model for high-throughput, low-latency tool use: search agents, batch classification, real-time customer-facing apps. The cost-per-1M gap to Opus 4.8 is roughly 50× on input and 60× on output.

What does Gemini 3.5 Flash cost?

Gemini 3.5 Flash lists $0.30 input and $1.2 output per 1M tokens. Pricing last checked 2026-06-01.

How large is the Gemini 3.5 Flash context window?

Gemini 3.5 Flash publishes a 1M token context window.

What is the VerdictPal status of Gemini 3.5 Flash?

Gemini 3.5 Flash carries Solid status on the model atlas.

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