Model
Model explorer

Qwen3.5-Omni-Plus

CLOSED
Alibaba · Qwen3.5 family · released Mar 30, 2026

Flagship tier of the Qwen3.5-Omni family; claims SOTA on 215 audio/audio-visual understanding, reasoning, and interaction subtasks/benchmarks (3 audio-visual, 5 audio, 8 ASR, 156 language-specific S2TT, 43 language-specific ASR benchmarks, per the launch blog). Supports controllable, structured audio/audio-visual captioning down to screenplay-level detail.

ReasoningCodingVisionFunction callingTool useAgentic
1834.0
Elo · rank #77
Parameters
Undisclosed
Active params
Undisclosed
Context
256K tokens
Architecture
Thinker-Talker omnimodal architecture; both Thinker and Talker adopt Hybrid-Attention MoE; RVQ speech tokenizer plus ARIA text-speech interleaving in the Talker; exact parameter/expert configuration undisclosed
License
Proprietary
Languages
API price (in/out)
$1.4 / $8.3
Modalities
text · vision · audio · video
Benchmark results
Bar shows position within the tracked field; marker = field best
AI2DVision91.2%#19
best: Molmo 72B · 96.3%
C-EvalKnowledge92.0%#5
best: Qwen3.6-Plus · 93.3%
CharXivVision72.5%#20
best: Muse Spark 1.1 (xhigh) · 88.4%
GPQA DiamondReasoning83.9%#62
best: GPT-5.6 · 94.6%
IFBenchReasoning52.6%#34
best: MiniMax M3 · 83.0%
IFEvalReasoning89.7%#19
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding65.6%#83
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MathVisionVision73.0%#11
best: Seed 2.1 Pro · 92.6%
MathVistaVision86.1%#8
best: Seed 2.1 Pro · 90.7%
MMBench (English)Vision92.8%#3
best: Qwen3.5-397B-A17B · 93.7%
MMLU-ProKnowledge85.9%#23
best: Claude Fable 5 · 91.5%
MMLU-ReduxKnowledge94.2%#7
best: Qwen3.7-Max · 95.0%
MMMU-ProVision73.9%#27
best: Claude Opus 4.7 · 85.5%
MMMUVision80.1%#24
best: Claude Fable 5 · 89.3%
OCRBenchVision91#16
best: InternVL3-78B · 906
RefCOCOVision95.0%#1
best: this model · 95.0%
SuperGPQAReasoning66.4%#8
best: Qwen3.7-Max · 73.6%
Video-MMEVision81.9%#10
best: Seed 2.1 Pro · 89.2%
Run it locally
Closed weights — available via API only. No local deployment.
Input / M tok
$1.4
Output / M tok
$8.3
API price $1.4/$8.3 · each benchmark row carries its own source badge (see methodology)