Gemini 3.5 FlashvsClaude Sonnet 4.6
Across 3 shared benchmarks, Gemini 3.5 Flash leads overall: Gemini 3.5 Flash wins 2, Claude Sonnet 4.6 wins 1, with 0 ties and an average score difference of +3.63.
Gemini 3.5 Flash
Google Deep Mind · 2026-06-20 · Multimodal model
Claude Sonnet 4.6
Anthropic · 2026-02-17 · AI model
Gemini 3.5 Flash2 wins(67%)(33%)1 winClaude Sonnet 4.6
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
General Knowledge
Even 2/2| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| ARC-AGI-2 | 72.1011 / 59Thinking High (With Tools) | 58.3018 / 59thinking | +13.80 |
| HLE | 40.2045 / 150Thinking High (With Tools) | 4920 / 150thinking + 使用工具 | -8.80 |
AI Agent - Tool Usage
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| OSWorld-Verified | 78.403 / 15Thinking High (With Tools) | 72.508 / 15thinking + 使用工具 | +5.90 |
Specs
| Field | Gemini 3.5 Flash | Claude Sonnet 4.6 |
|---|---|---|
| Publisher | Google Deep Mind | Anthropic |
| Release date | 2026-06-20 | 2026-02-17 |
| Model type | Multimodal model | AI model |
| Architecture | Dense | Dense |
| Parameters | 0.0 | 0.0 |
| Context length | 1M | 1M |
| Max output | 65536 | 8192 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.5 Flash | Claude Sonnet 4.6 |
|---|---|---|
| Text input | $1.5 / 1M tokens | $3 / 1M tokens |
| Text output | $9 / 1M tokens | $15 / 1M tokens |
| Cache read | Not public | $0.3 / 1M tokens |
| Cache write | Not public | $3.75 / 1M tokens |
Summary
- Gemini 3.5 Flashleads in:AI Agent - Tool Usage (1/1)
- Tied in:General Knowledge
On average across the 3 shared benchmarks, Gemini 3.5 Flash scores 3.63 higher.
Largest single-benchmark gap: ARC-AGI-2 — Gemini 3.5 Flash 72.10 vs Claude Sonnet 4.6 58.30 (+13.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.