Gemini 3.5 FlashvsGemini 3.0 Flash
Across 4 shared benchmarks, Gemini 3.5 Flash leads overall: Gemini 3.5 Flash wins 3, Gemini 3.0 Flash wins 1, with 0 ties and an average score difference of +14.72.
Gemini 3.5 Flash
Google Deep Mind · 2026-06-20 · Multimodal model
Gemini 3.0 Flash
Google Deep Mind · 2025-12-17 · AI model
Gemini 3.5 Flash3 wins(75%)(25%)1 winGemini 3.0 Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
General Knowledge
Even 2/2| Benchmark | Gemini 3.5 Flash | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| ARC-AGI-2 | 72.1011 / 59Thinking High (With Tools) | 33.6027 / 59thinking | +38.50 |
| HLE | 40.2045 / 150Thinking High (With Tools) | 43.5033 / 150thinking + 使用工具 | -3.30 |
AI Agent - Tool Usage
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| TerminalBench 2.1 | 76.201 / 2Thinking High (With Tools) | 582 / 2Thinking High (With Tools) | +18.20 |
Coding and Software Engineer
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 55.1015 / 38Thinking High (With Tools) | 49.6027 / 38Thinking High (With Tools) | +5.50 |
Specs
| Field | Gemini 3.5 Flash | Gemini 3.0 Flash |
|---|---|---|
| Publisher | Google Deep Mind | Google Deep Mind |
| Release date | 2026-06-20 | 2025-12-17 |
| Model type | Multimodal model | AI model |
| Architecture | Dense | Dense |
| Parameters | 0.0 | 0.0 |
| Context length | 1M | 2000K |
| Max output | 65536 | 65536 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.5 Flash | Gemini 3.0 Flash |
|---|---|---|
| Text input | $1.5 / 1M tokens | 0.5 美元/100万 tokens |
| Text output | $9 / 1M tokens | 3 美元/100万 tokens |
| Cache read | Not public | 0.05 美元/100万 tokens |
Summary
- Gemini 3.5 Flashleads in:AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1)
- Tied in:General Knowledge
On average across the 4 shared benchmarks, Gemini 3.5 Flash scores 14.72 higher.
Largest single-benchmark gap: ARC-AGI-2 — Gemini 3.5 Flash 72.10 vs Gemini 3.0 Flash 33.60 (+38.50).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.