Qwen3.8-Max-0902vsKimi K3
Across 9 shared benchmarks, Qwen3.8-Max-0902 leads overall: Qwen3.8-Max-0902 wins 6, Kimi K3 wins 3, with 0 ties and an average score difference of -1.06.
Qwen3.8-Max-0902
阿里巴巴 · 2026-09-02 · Reasoning model
Kimi K3
Moonshot AI · 2026-07-16 · Reasoning model
Qwen3.8-Max-09026 wins(67%)(33%)3 winsKimi K3
Benchmark scores
Grouped by capability, sorted by largest gap within each. 9 shared benchmarks.
Coding and Software Engineer
Qwen3.8-Max-0902 3/4| Benchmark | Qwen3.8-Max-0902 | Kimi K3 | Diff |
|---|---|---|---|
| Program Bench | 285 / 7极高强度思考（工具） | 77.801 / 7Max (With Tools) | -49.80 |
| SWE-Marathon | 44.801 / 6极高强度思考（工具） | 423 / 6Max (With Tools) | +2.80 |
| DeepSWE | 69.304 / 32极高强度思考（工具） | 67.506 / 32Max (With Tools) | +1.80 |
| MLS Bench | 50.101 / 5极高强度思考（工具） | 48.302 / 5Max (With Tools) | +1.80 |
AI Agent - Tool Usage
Even 2/2| Benchmark | Qwen3.8-Max-0902 | Kimi K3 | Diff |
|---|---|---|---|
| AutomationBench | 50.801 / 12极高强度思考（工具） | 30.807 / 12Max (With Tools) | +20 |
| Toolathlon-Verified | 73.307 / 10极高强度思考（工具） | 76.502 / 10Max (With Tools) | -3.20 |
Multimodal Understanding
Even 2/2| Benchmark | Qwen3.8-Max-0902 | Kimi K3 | Diff |
|---|---|---|---|
| BabyVision | 93.801 / 6极高强度思考（工具） | 85.702 / 6Max (With Tools) | +8.10 |
| MMMU-Pro | 82.702 / 8极高强度思考（无工具） | 83.401 / 8Max (With Tools) | -0.70 |
Agent Level Benchmark
Qwen3.8-Max-0902 1/1| Benchmark | Qwen3.8-Max-0902 | Kimi K3 | Diff |
|---|---|---|---|
| Job Bench | 641 / 4极高强度思考（工具） | 54.304 / 4Max (With Tools) | +9.70 |
Specs
| Field | Qwen3.8-Max-0902 | Kimi K3 |
|---|---|---|
| Publisher | 阿里巴巴 | Moonshot AI |
| Release date | 2026-09-02 | 2026-07-16 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 2.4T | 2.8T |
| Context length | 1M | 1M |
| Max output | 131K | 1M |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.8-Max-0902 | Kimi K3 |
|---|---|---|
| Text input | $2 / 1M tokens | ¥20 / 1M tokens |
| Text output | $6 / 1M tokens | ¥100 / 1M tokens |
| Cache read | $0.25 / 1M tokens | ¥2 / 1M tokens |
| Cache write | $2.5 / 1M tokens | Not public |
Summary
- Qwen3.8-Max-0902leads in:Coding and Software Engineer (3/4), Agent Level Benchmark (1/1)
- Tied in:AI Agent - Tool Usage, Multimodal Understanding
On average across the 9 shared benchmarks, Kimi K3 scores 1.06 higher.
Largest single-benchmark gap: Program Bench — Qwen3.8-Max-0902 28 vs Kimi K3 77.80 (-49.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.