Model

Qwen3.5-122B-A10B

OPEN

Alibaba · Qwen3.5 family · released Feb 24, 2026

Mid-size open-weight MoE in the Qwen3.5 family, released ~1 week after the 397B-A17B flagship alongside Qwen3.5-27B (dense) and Qwen3.5-35B-A3B (MoE). Matches or beats GPT-OSS-120B and Qwen3-235B-A22B on several benchmarks at a fraction of the total/active parameter count.

ReasoningCodingVisionFunction callingTool useAgentic

2021.4

Elo · rank #57

Parameters

122B

Active params

10B (MoE)

Context

256K tokens

Architecture

Hybrid-attention MoE (Qwen3-Next lineage): 48 layers, 12x(3x(Gated DeltaNet -> MoE) -> 1x(Gated Attention -> MoE)); 256 experts, 8 routed + 1 shared activated per token; hidden dim 3072; natively multimodal (Causal LM with built-in vision encoder)

License

Apache 2.0

Languages

—

API price (in/out)

No hosted API

Modalities

text · vision · video

Benchmark results

Bar shows position within the tracked field; marker = field best

AI2DVision93.3%#14

best: Molmo 72B · 96.3%

Arena EloHuman preference1417#19

best: Claude Fable 5 · 1505

BrowseCompAgents63.8%#25

best: Kimi K3 · 91.2%

C-EvalKnowledge91.9%#7

best: Qwen3.6-Plus · 93.3%

CharXivVision77.2%#17

best: Muse Spark 1.1 (xhigh) · 88.4%

CodeforcesCoding2100#15

best: DeepSeek-V4-Pro (Think Max) · 3206

GPQA DiamondReasoning86.6%#50

best: GPT-5.6 · 94.6%

Humanity's Last ExamReasoning25.3%#54

best: Claude Sonnet 5 · 57.4%

IFBenchReasoning76.1%#12

best: MiniMax M3 · 83.0%

IFEvalReasoning93.4%#7

best: Gemma 4 26B A4B · 98.5%

LiveCodeBenchCoding78.9%#54

best: DeepSeek-V4-Pro (Think Max) · 93.5%

MathVisionVision86.2%#6

best: Seed 2.1 Pro · 92.6%

MathVistaVision87.4%#4

best: Seed 2.1 Pro · 90.7%

MMBench (English)Vision92.8%#2

best: Qwen3.5-397B-A17B · 93.7%

MMLU-ProKnowledge86.7%#18

best: Claude Fable 5 · 91.5%

MMLU-ReduxKnowledge94.0%#8

best: Qwen3.7-Max · 95.0%

MMMLUKnowledge86.7%#15

best: Gemini 3.1 Pro · 92.6%

MMMU-ProVision76.9%#20

best: Claude Opus 4.7 · 85.5%

MMMUVision83.9%#11

best: Claude Fable 5 · 89.3%

OCRBenchVision92#15

best: InternVL3-78B · 906

OSWorld-VerifiedAgents58.0%#21

best: Claude Fable 5 · 85.0%

SuperGPQAReasoning67.1%#7

best: Qwen3.7-Max · 73.6%

SWE-bench VerifiedCoding72.0%#53

best: Claude Fable 5 · 95.0%

Terminal-Bench 2.0Coding49.4%#48

best: GPT-5.6 · 88.8%

Run it locally

VRAM @ Q4

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VRAM @ FP16

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Fits on (Q4)

Multi-node cluster required

Throughput data unavailable.

Quantizations

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Qwen3.5 family

Elo progression across releases

Qwen3.5-397B-A17BFeb 20262182.0 Qwen3.5-PlusFeb 20261882.6 Qwen3.5-122B-A10BFeb 20262021.4 Qwen3.5-Omni-FlashMar 20261471.5 Qwen3.5-Omni-PlusMar 20261834.0

Resources

HFQwen/Qwen3.5-122B-A10B GHQwenLM/Qwen3.6 DOCShttps://huggingface.co/Qwen/Qwen3.5-122B-A10B APIAvailable via Alibaba API

API price weights · each benchmark row carries its own source badge (see methodology)