Gemini 3.5 FlashvsClaude Sonnet 4.6
Across 7 shared benchmarks, Gemini 3.5 Flash leads overall: Gemini 3.5 Flash wins 5, Claude Sonnet 4.6 wins 2, with 0 ties and an average score difference of +4.92.
Gemini 3.5 Flash
Google Deep Mind · 2026-06-20 · Multimodal model
Claude Sonnet 4.6
Anthropic · 2026-02-17 · Chat model
Gemini 3.5 Flash5 wins(71%)(29%)2 winsClaude Sonnet 4.6
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
General Knowledge
Claude Sonnet 4.6 2/3| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| ARC-AGI-2 | 72.1013 / 62Thinking High (With Tools) | 58.3021 / 62 | +13.80 |
| HLE | 40.2066 / 181Thinking High (With Tools) | 4934 / 181 | -8.80 |
| LiveBench | 75.0217 / 115Thinking High (No Tools) | 75.4712 / 115Thinking Medium (No Tools) | -0.45 |
AI Agent - Tool Usage
Gemini 3.5 Flash 2/2| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| MCP-Atlas | 83.604 / 38Thinking High (With Tools) | 69.5027 / 38Normal (With Tools) | +14.10 |
| OSWorld-Verified | 78.4010 / 26Thinking High (With Tools) | 72.5017 / 26 | +5.90 |
Coding and Software Engineer
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| DeepSWE | 3722 / 26Thinking Medium (With Tools) | 3024 / 26Thinking High (With Tools) | +7 |
General Evaluation
Gemini 3.5 Flash 1/1| Benchmark | Gemini 3.5 Flash | Claude Sonnet 4.6 | Diff |
|---|---|---|---|
| GPQA Diamond | 92.8019 / 226Thinking High (No Tools) | 89.9042 / 226 | +2.90 |
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 | Chat model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 1M | 1M |
| Max output | 64K | 8K |
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 | $0.15 / 1M tokens | $0.3 / 1M tokens |
| Cache write | Not public | $3.75 / 1M tokens |
Summary
- Gemini 3.5 Flashleads in:AI Agent - Tool Usage (2/2), Coding and Software Engineer (1/1), General Evaluation (1/1)
- Claude Sonnet 4.6leads in:General Knowledge (2/3)
On average across the 7 shared benchmarks, Gemini 3.5 Flash scores 4.92 higher.
Largest single-benchmark gap: MCP-Atlas — Gemini 3.5 Flash 83.60 vs Claude Sonnet 4.6 69.50 (+14.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.