Gemini 3.6 FlashvsClaude Sonnet 5
Across 3 shared benchmarks, Claude Sonnet 5 leads overall: Gemini 3.6 Flash wins 1, Claude Sonnet 5 wins 2, with 0 ties and an average score difference of -1.87.
Gemini 3.6 Flash
Google Deep Mind · 2026-07-21 · Multimodal model
Claude Sonnet 5
Anthropic · 2026-06-30 · Multimodal model
Gemini 3.6 Flash1 win(33%)(67%)2 winsClaude Sonnet 5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
AI Agent - Tool Usage
Even 2/2| Benchmark | Gemini 3.6 Flash | Claude Sonnet 5 | Diff |
|---|---|---|---|
| TerminalBench 2.1 | 7813 / 27Thinking (With Tools) | 80.4010 / 27极高强度思考（工具） | -2.40 |
| OSWorld-Verified | 833 / 23Thinking (With Tools) | 81.204 / 23极高强度思考（工具） | +1.80 |
Coding and Software Engineer
Claude Sonnet 5 1/1| Benchmark | Gemini 3.6 Flash | Claude Sonnet 5 | Diff |
|---|---|---|---|
| DeepSWE | 4912 / 18Thinking (With Tools) | 548 / 18Deep Thinking (With Tools) | -5 |
Specs
| Field | Gemini 3.6 Flash | Claude Sonnet 5 |
|---|---|---|
| Publisher | Google Deep Mind | Anthropic |
| Release date | 2026-07-21 | 2026-06-30 |
| Model type | Multimodal model | Multimodal model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 1M | 1M |
| Max output | 64K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.6 Flash | Claude Sonnet 5 |
|---|---|---|
| Text input | $1.5 / 1M tokens | $2 / 1M tokens |
| Text output | $7.5 / 1M tokens | $10 / 1M tokens |
| Cache read | $0.15 / 1M tokens | $0.3 / 1M tokens |
| Cache write | Not public | $3.75 / 1M tokens |
Summary
- Claude Sonnet 5leads in:Coding and Software Engineer (1/1)
- Tied in:AI Agent - Tool Usage
On average across the 3 shared benchmarks, Claude Sonnet 5 scores 1.87 higher.
Largest single-benchmark gap: DeepSWE — Gemini 3.6 Flash 49 vs Claude Sonnet 5 54 (-5).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.