Qwen3.5 122B A10B
Qwenapache-2.0textvision

Qwen3.5 122B A10B

Updated Jun 7, 2026
Parameters
125.1B
Context
262,144
License
apache-2.0
Updated
Jun 7, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

41.6

AA Index

Coding

34.7

AA Index

Agentic

53.0

AA Index

Intelligence Index - Qwen3.5 122B A10B vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Opus 4.8 (max)
61.4
closed
GPT-5.5 (xhigh)
60.2
closed
Claude Opus 4.7 (max)
57.3
closed
Gemini 3.1 Pro Preview
57.2
closed
Qwen3.7 Max
56.6
closed
Kimi K2.6
53.9
open
MiMo-V2.5-Pro
53.8
open
Qwen3.5 122B A10B
41.6
open

Coding Index comparison

GPT-5.5 (xhigh)
59.1
closed
Claude Opus 4.8 (max)
56.7
closed
Gemini 3.1 Pro Preview
55.5
closed
Claude Opus 4.7 (Non-reasoning, high)
53.1
closed
GPT-5.3 Codex (xhigh)
53.1
closed
DeepSeek V4 Pro (Max)
47.5
open
Kimi K2.6
47.1
open
Qwen3.5 122B A10B
34.7
open

Agentic Index comparison

Claude Opus 4.8 (max)
77.8
closed
GPT-5.5 (xhigh)
74.1
closed
Claude Opus 4.7 (max)
71.3
closed
Gemini 3.5 Flash (medium)
70.4
closed
MiniMax-M3
68.6
closed
MiMo-V2.5-Pro
67.4
open
DeepSeek V4 Pro (Max)
67.2
open
Qwen3.5 122B A10B
53
open

Benchmark data from Artificial Analysis · updated 2026-06-07.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA85.7

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit Qwen3.5 122B A10B with real runtime overhead.
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Qwen/Qwen3.5-122B-A10B-FP8

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Qwen3.5 122B A10B is a 125.1B-parameter apache-2.0 model from Alibaba. It scores 41.6 on the Artificial Analysis Intelligence Index (coding 34.7). At Q4_K_M it needs roughly 73 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.

Benchmarks

Artificial Analysis Intelligence Index - Qwen3.5 122B A10B vs. leading closed models:

ModelIntelligenceCodingGPQA
Qwen3.5 122B A10B41.634.785.7
GPT-5.5 (xhigh)60.259.193.5
Claude Opus 4.8 (max)61.456.792
Gemini 3.1 Pro Preview57.255.594.1
Grok 4.3 (high)53.24190.1

Source: Artificial Analysis (2026-06-07).

Popularity

Qwen3.5 122B A10B has 1,337,559 downloads in the last month on HuggingFace and 101 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Qwen3.5 122B A10B need?

Qwen3.5 122B A10B with 125.1B parameters needs approximately 73 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Qwen3.5 122B A10B better than other Qwen models?

Qwen3.5 122B A10B has 125.1B parameters with 262,144 context - a strong choice for general use.

What license is Qwen3.5 122B A10B under?

Qwen3.5 122B A10B is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs Qwen3.5 122B A10B well?

With 125.1B parameters, Qwen3.5 122B A10B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Qwen3.5 122B A10B?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~89 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Qwen3.5 122B A10B's context window handle?

Qwen3.5 122B A10B supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with Qwen3.5 122B A10B?

Qwen3.5 122B A10B competes with other 63B–188B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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