Qwen3.8-27BvsGemini 3.7 Flash
Across 4 shared benchmarks, Gemini 3.7 Flash leads overall: Qwen3.8-27B wins 1, Gemini 3.7 Flash wins 3, with 0 ties and an average score difference of -10.08.
Qwen3.8-27B
阿里巴巴 · 2026-08-14 · Reasoning model
Gemini 3.7 Flash
Google Deep Mind · 2026-08-13 · Multimodal model
Qwen3.8-27B1 win(25%)(75%)3 winsGemini 3.7 Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
Agent Level Benchmark
Gemini 3.7 Flash 1/1| Benchmark | Qwen3.8-27B | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| Agents' Last Exam | 20.409 / 9Thinking (With Tools) | 26.307 / 9Thinking Medium (With Tools) | -5.90 |
AI Agent - Tool Usage
Gemini 3.7 Flash 1/1| Benchmark | Qwen3.8-27B | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 7327 / 41Thinking (With Tools) | 85.808 / 41Thinking (With Tools) | -12.80 |
Coding and Software Engineer
Gemini 3.7 Flash 1/1| Benchmark | Qwen3.8-27B | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| DeepSWE | 42.2020 / 25Thinking (With Tools) | 65.3010 / 25Thinking High (With Tools) | -23.10 |
Multimodal Understanding
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | Gemini 3.7 Flash | Diff |
|---|---|---|---|
| CharXiv RQ | 90.202 / 15Thinking (With Tools) | 88.704 / 15Thinking Medium (With Tools) | +1.50 |
Specs
| Field | Qwen3.8-27B | Gemini 3.7 Flash |
|---|---|---|
| Publisher | 阿里巴巴 | Google Deep Mind |
| Release date | 2026-08-14 | 2026-08-13 |
| Model type | Reasoning model | Multimodal model |
| Architecture | Dense | Dense |
| Parameters | 27B | Not available |
| Context length | 256K | 1M |
| Max output | 128K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.8-27B | Gemini 3.7 Flash |
|---|---|---|
| Text input | Not public | $0.75 / 1M tokens |
| Text output | Not public | $3.75 / 1M tokens |
| Cache read | Not public | $0.075 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Qwen3.8-27Bleads in:Multimodal Understanding (1/1)
- Gemini 3.7 Flashleads in:Agent Level Benchmark (1/1), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1)
On average across the 4 shared benchmarks, Gemini 3.7 Flash scores 10.08 higher.
Largest single-benchmark gap: DeepSWE — Qwen3.8-27B 42.20 vs Gemini 3.7 Flash 65.30 (-23.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.