Qwen3.8-27BvsDeepSeek-V4-Flash
Qwen3.8-27B and DeepSeek-V4-Flash are tied across 8 shared benchmarks: Qwen3.8-27B leads on 4, DeepSeek-V4-Flash leads on 4, with 0 ties and an average score difference of +6.23.
Qwen3.8-27B
阿里巴巴 · 2026-08-14 · Reasoning model
DeepSeek-V4-Flash
DeepSeek-AI · 2026-04-24 · Reasoning model
Qwen3.8-27B4 wins(50%)(50%)4 winsDeepSeek-V4-Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 8 shared benchmarks.
Coding and Software Engineer
Even 4/4| Benchmark | Qwen3.8-27B | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| LiveCodeBench | 90.306 / 124Thinking (No Tools) | 55.2084 / 124Normal (No Tools) | +35.10 |
| SWE-Bench Pro - Public | 61.7010 / 57Thinking (With Tools) | 49.1047 / 57Normal (With Tools) | +12.60 |
| DeepSWE | 42.2020 / 25Thinking (With Tools) | 54.4013 / 25Max (With Tools) | -12.20 |
| NL2Repo-Bench | 42.304 / 4Thinking (With Tools) | 54.203 / 4Max (With Tools) | -11.90 |
Agent Level Benchmark
DeepSeek-V4-Flash 1/1| Benchmark | Qwen3.8-27B | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Agents' Last Exam | 20.409 / 9Thinking (With Tools) | 25.208 / 9Max (With Tools) | -4.80 |
AI Agent - Tool Usage
DeepSeek-V4-Flash 1/1| Benchmark | Qwen3.8-27B | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 7327 / 41Thinking (With Tools) | 82.7014 / 41Max (With Tools) | -9.70 |
General Evaluation
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| GPQA Diamond | 89.2047 / 226Thinking (No Tools) | 71.20151 / 226Normal (No Tools) | +18 |
General Knowledge
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| HLE | 30.8087 / 179Thinking (No Tools) | 8.10162 / 179Normal (No Tools) | +22.70 |
Specs
| Field | Qwen3.8-27B | DeepSeek-V4-Flash |
|---|---|---|
| Publisher | 阿里巴巴 | DeepSeek-AI |
| Release date | 2026-08-14 | 2026-04-24 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | 27B | 284B |
| Context length | 256K | 1M |
| Max output | 128K | 384K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.8-27B | DeepSeek-V4-Flash |
|---|---|---|
| Text input | Not public | $0.14 / 1M tokens |
| Text output | Not public | $0.28 / 1M tokens |
| Cache read | Not public | $0.0028 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Qwen3.8-27Bleads in:General Evaluation (1/1), General Knowledge (1/1)
- DeepSeek-V4-Flashleads in:Agent Level Benchmark (1/1), AI Agent - Tool Usage (1/1)
- Tied in:Coding and Software Engineer
On average across the 8 shared benchmarks, Qwen3.8-27B scores 6.23 higher.
Largest single-benchmark gap: LiveCodeBench — Qwen3.8-27B 90.30 vs DeepSeek-V4-Flash 55.20 (+35.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.