Qwen3.5-122B-A10B
by Qwentext+image+video->text5 endpoints
Neura Intelligence Index
69.0/ 100
Rank
#88—
Confidence
highBenchmarks
9(23% coverage)
Overview
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Capabilities
Text generation
Image understanding
Video understanding
Tool use / Function calling
Structured output
Extended reasoning
Long context
Top-P sampling
Stop sequences
Deterministic seed
Log probabilities
Modalities
Input
TextImageVideo
Output
Text
Technical Specifications
Context Window
262.1K tokens
Max Output
65.5K tokens
Tokenizer
Qwen3
Uptime (24h)
9993.1%
Parameters
122000000000B
License
apache_2_0Open Weights
Country
🇨🇳CN
Release Date
February 24, 20266mo
Supported Parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Benchmark Performance
general
| Benchmark | Score | Source |
|---|---|---|
| MMMLU | 86.7 | verified |
coding
| Benchmark | Score | Source |
|---|---|---|
| SWE-bench Verified | 72 | verified |
reasoning
| Benchmark | Score | Source |
|---|---|---|
| GPQA Diamond | 86.6 | verified |
| Humanity's Last Exam | 47.5 | verified |
multimodal
| Benchmark | Score | Source |
|---|---|---|
| MMMU | 83.9 | verified |
| CharXiv Reasoning | 77.2 | verified |
| MMMU-Pro | 76.9 | verified |
| ScreenSpot Pro | 70.4 | verified |
agent
| Benchmark | Score | Source |
|---|---|---|
| BrowseComp | 63.8 | verified |
Performance Over Time
Pricing
Per 1M tokens
Input$0.26
Output$2.08
Added
February 25, 2026
Last synced 9/16/2026