# Qwen3.5 122B A10B ![Organization](https://img.shields.io/badge/Org-Alibaba-ff6a00) ![License](https://img.shields.io/badge/License-Apache%202.0-22c55e) ![Released](https://img.shields.io/badge/Released-Sep%202025-555) ![MoE](https://img.shields.io/badge/Type-MoE-6366f1) ![Params](https://img.shields.io/badge/Params-122B%2F10B%20active-blue) > **Quick answer:** Qwen3.5 122B A10B is Alibaba's September 2025 MoE model scoring 63.8% BrowseComp, 47.5% HLE, 86.6% GPQA Diamond, 86.7% MMLU-Pro, and 72% SWE-Bench Verified. Apache 2.0 with 122B total / 10B active parameters. ## At a Glance **Where Qwen3.5 122B A10B leads** - 47.5% HLE — among the top open-weight HLE scores; near GLM-5.2 (54.7%) and Gemini 3 Flash (43.5%) - 63.8% BrowseComp — strong web research - 86.6% GPQA Diamond — excellent graduate-level science - 86.7% MMLU-Pro — strong academic knowledge - Apache 2.0 — fully open - 10B active params: efficient MoE inference **Where it lags** - 72% SWE-Bench Verified — below Kimi K2.6 (80.2%) and HY3 (78%) - September 2025: superseded by more recent models on some metrics **Best for:** Open-weight frontier reasoning with 47.5% HLE; web research at 63.8% BrowseComp; academic knowledge tasks; teams needing Apache 2.0 models with Qwen 3.5 generation capabilities. ## What Qwen3.5 122B A10B Is Qwen3.5 122B A10B is the September 2025 flagship in Alibaba's Qwen3.5 generation — succeeding Qwen3 (April/May 2025). As a 122B/10B MoE, inference activates only 10B parameters per token while the full 122B capacity is available for specialised knowledge routing. The 47.5% HLE score is notably high for an open-weight model — near Gemini 3.1 Pro (46.4%) and GLM-5.2 (54.7%) while being Apache 2.0 open. This makes it one of the strongest openly-available models for academic and research reasoning. ## Specifications | Field | Value | |---|---| | Organization | Alibaba | | License | Apache 2.0 | | HuggingFace | Qwen/Qwen3.5-122B-A10B | | Release date | September 2025 | | Parameters | 122B total / 10B active (MoE) | | Modality | Text only | | Context window | 128K tokens | ## Pricing Open weights under Apache 2.0 — self-host. Also via Alibaba Cloud DashScope. ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [BrowseComp](/benchmarks/browsecomp) | 63.8% | Benchgen evaluation | 2025-09 | | [GPQA Diamond](/benchmarks/gpqa-diamond) | 86.6% | Benchgen evaluation | 2025-09 | | [Humanity's Last Exam](/benchmarks/humanitys-last-exam) | 47.5% | Benchgen evaluation | 2025-09 | | [MMLU-Pro](/benchmarks/mmlu-pro) | 86.7% | Benchgen evaluation | 2025-09 | | [SWE-Bench Verified](/benchmarks/swe-bench-verified) | 72% | Benchgen evaluation | 2025-09 | ## Qwen3.5 122B A10B vs Alternatives | Model | HLE | BrowseComp | MMLU-Pro | License | |---|---|---|---|---| | **Qwen3.5 122B A10B** | 47.5% | 63.8% | 86.7% | Apache 2.0 | | [Kimi K2 Thinking 0905](/models/moonshot/kimi-k2-thinking-0905) | 51.0% | 60.2% | 84.6% | Apache 2.0 | | [Kimi K2.6](/models/moonshot/kimi-k2-6) | 36.4% | 83.2% | — | Apache 2.0 | | [Gemini 3 Flash](/models/google/gemini-3-flash) | 43.5% | — | — | Proprietary | Qwen3.5 122B A10B vs Kimi K2 Thinking 0905: higher HLE (47.5% vs 51%), higher MMLU-Pro (86.7% vs 84.6%), higher BrowseComp (63.8% vs 60.2%). Very close competition; both Apache 2.0. ## Related Models & Benchmarks - Compare: [Kimi K2 Thinking 0905](/models/moonshot/kimi-k2-thinking-0905) · [Kimi K2.6](/models/moonshot/kimi-k2-6) · [Qwen3 235B A22B](/models/alibaba/qwen3-235b-a22b) - Benchmarks: [BrowseComp](/benchmarks/browsecomp) · [Humanity's Last Exam](/benchmarks/humanitys-last-exam) · [GPQA Diamond](/benchmarks/gpqa-diamond) ## Frequently Asked Questions

What is Qwen3.5 122B A10B?

Alibaba's September 2025 MoE model scoring 47.5% HLE, 63.8% BrowseComp, 86.6% GPQA Diamond, 86.7% MMLU-Pro, 72% SWE-Bench. Apache 2.0 with 122B/10B active params.

How does Qwen3.5 122B compare to Qwen3 235B A22B?

Qwen3 235B A22B (April 2025) excels on Arena Hard (95.6%) and code tasks. Qwen3.5 122B A10B (September 2025) offers higher HLE (47.5%) and more recent training. For research/reasoning: Qwen3.5 122B. For instruction quality: Qwen3 235B.

--- *Specs from Alibaba's Qwen3.5 122B A10B release (September 2025) and Benchgen evaluations. Last updated 2026-07-24.*

Qwen3.5-122B-A10B — Training jobs

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