Qwen3.8-27BvsGPT-5.6 Terra
Across 4 shared benchmarks, GPT-5.6 Terra leads overall: Qwen3.8-27B wins 0, GPT-5.6 Terra wins 4, with 0 ties and an average score difference of -18.98.
Qwen3.8-27B
阿里巴巴 · 2026-08-14 · Reasoning model
GPT-5.6 Terra
OpenAI · 2026-06-26 · Reasoning model
Qwen3.8-27B0 wins(0%)(100%)4 winsGPT-5.6 Terra
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
Agent Level Benchmark
GPT-5.6 Terra 1/1| Benchmark | Qwen3.8-27B | GPT-5.6 Terra | Diff |
|---|---|---|---|
| Agents' Last Exam | 20.409 / 9Thinking (With Tools) | 50.402 / 9极高强度思考（工具） | -30 |
AI Agent - Tool Usage
GPT-5.6 Terra 1/1| Benchmark | Qwen3.8-27B | GPT-5.6 Terra | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 7327 / 41Thinking (With Tools) | 87.406 / 41最高（无工具） | -14.40 |
Coding and Software Engineer
GPT-5.6 Terra 1/1| Benchmark | Qwen3.8-27B | GPT-5.6 Terra | Diff |
|---|---|---|---|
| DeepSWE | 42.2020 / 25Thinking (With Tools) | 69.603 / 25极高强度思考（工具） | -27.40 |
General Evaluation
GPT-5.6 Terra 1/1| Benchmark | Qwen3.8-27B | GPT-5.6 Terra | Diff |
|---|---|---|---|
| GPQA Diamond | 89.2047 / 226Thinking (No Tools) | 93.3116 / 226最高（无工具） | -4.11 |
Specs
| Field | Qwen3.8-27B | GPT-5.6 Terra |
|---|---|---|
| Publisher | 阿里巴巴 | OpenAI |
| Release date | 2026-08-14 | 2026-06-26 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | 27B | Not available |
| Context length | 256K | 1.05M |
| Max output | 128K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.8-27B | GPT-5.6 Terra |
|---|---|---|
| Text input | Not public | $2.5 / 1M tokens |
| Text output | Not public | $15 / 1M tokens |
| Cache read | Not public | $0.25 / 1M tokens |
| Cache write | Not public | $3.125 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- GPT-5.6 Terraleads in:Agent Level Benchmark (1/1), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), General Evaluation (1/1)
On average across the 4 shared benchmarks, GPT-5.6 Terra scores 18.98 higher.
Largest single-benchmark gap: Agents' Last Exam — Qwen3.8-27B 20.40 vs GPT-5.6 Terra 50.40 (-30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.