Gemini 3.8 FlashvsClaude Sonnet 5
Across 3 shared benchmarks, Gemini 3.8 Flash leads overall: Gemini 3.8 Flash wins 3, Claude Sonnet 5 wins 0, with 0 ties and an average score difference of +11.79.
Gemini 3.8 Flash
Google Deep Mind · 2026-09-02 · Multimodal model
Claude Sonnet 5
Anthropic · 2026-06-30 · Multimodal model
Gemini 3.8 Flash3 wins(100%)(0%)0 winsClaude Sonnet 5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
AI Agent - Tool Usage
Gemini 3.8 Flash 2/2| Benchmark | Gemini 3.8 Flash | Claude Sonnet 5 | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 89.401 / 48Thinking (With Tools) | 80.4022 / 48极高强度思考（工具） | +9 |
| Terminal-Bench 4.0 | 19.109 / 12Thinking (With Tools) | 12.4211 / 12Max (With Tools) | +6.68 |
Coding and Software Engineer
Gemini 3.8 Flash 1/1| Benchmark | Gemini 3.8 Flash | Claude Sonnet 5 | Diff |
|---|---|---|---|
| DeepSWE | 73.701 / 33Thinking (With Tools) | 5422 / 33Deep Thinking (With Tools) | +19.70 |
Specs
| Field | Gemini 3.8 Flash | Claude Sonnet 5 |
|---|---|---|
| Publisher | Google Deep Mind | Anthropic |
| Release date | 2026-09-02 | 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 3.8 Flash | Claude Sonnet 5 |
|---|---|---|
| Text input | $0.75 / 1M tokens | $2 / 1M tokens |
| Text output | $3.75 / 1M tokens | $10 / 1M tokens |
| Cache read | $0.075 / 1M tokens | $0.2 / 1M tokens |
| Cache write | Not public | $2.5 / 1M tokens |
Summary
- Gemini 3.8 Flashleads in:AI Agent - Tool Usage (2/2), Coding and Software Engineer (1/1)
On average across the 3 shared benchmarks, Gemini 3.8 Flash scores 11.79 higher.
Largest single-benchmark gap: DeepSWE — Gemini 3.8 Flash 73.70 vs Claude Sonnet 5 54 (+19.70).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.