51.9%
AA-Omniscience Accuracy
Models / Google
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.
Family profile
Best published score in each covered benchmark family.
6 tested benchmark families
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.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| MMMU-Pro | Multimodal | #3/ 8 | 84 | Artificial Analysis — MMMU-Pro | 2026-09-01 |
| AA-Omniscience | Knowledge | #6/ 12 | 52 | Artificial Analysis — AA-Omniscience | 2026-09-01 |
| DeepSWE | Coding | #8/ 8 | 37 | DeepSWE leaderboard v1.1 | 2026-06-20 |
| FrontierMath | Math | #10/ 15 | 39 | Epoch AI FrontierMath Tiers 1-3 (v2) CSV | 2026-08-15 |
| AA output speed | Performance | #19/ 195 | Artificial Analysis | 2026-10-12 | |
| Humanity's Last Exam | Reasoning | #28/ 186 | 43 | Artificial Analysis | 2026-09-28 |
| SciCode | Coding | #30/ 97 | 54 | Artificial Analysis | 2026-09-28 |
| AA-LCR | Long context | #101/ 184 | 73 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #158/ 184 | 74 | Artificial Analysis GPQA Diamond evaluation | 2026-06-09 |
The three highest-scoring models with pages in each capability family. Where Gemini 3.5 Flash shows up, it's highlighted.
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.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA output speed | Performance | 189 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 73.33% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 42.7% | Artificial Analysis | 24 |
| SciCode | Coding | 53.9% | Artificial Analysis | 24 |
| AA-Omniscience | Knowledge | 51.9% | Artificial Analysis — AA-Omniscience | 51 |
| MMMU-Pro | Multimodal | 84.3% | Artificial Analysis — MMMU-Pro | 51 |
| FrontierMath | Math | 38.97% | Epoch AI FrontierMath Tiers 1-3 (v2) CSV | 68 |
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.
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
Every catalog benchmark for Gemini 3.5 Flash. Scores link to the original source; gaps mean no public row exists yet.
9 of 13 catalog benchmarks have a sourced row for Gemini 3.5 Flash.
51.9%
AA-Omniscience Accuracy
74.1%
GPQA Diamond
42.7%
HLE (AA run)
38.97%
FrontierMath Tiers 1-3 (v2) best Epoch run
84.3%
MMMU-Pro (AA run)
73.33%
AA-LCR (AA run)
189 t/s
Median output tokens/s (1k prompt, default provider)
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
Gemini 3.5 Flash is a Google model: 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.
Gemini 3.5 Flash lists $0.30 input and $1.2 output per 1M tokens. Pricing last checked 2026-06-01.
Gemini 3.5 Flash publishes a 1M token context window.
Gemini 3.5 Flash carries Solid status on the model atlas.
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