Qwen3.5 122B A10B (Non-reasoning)
AlibabaQwenOpen WeightApache 2.0 · Usage Commercial
Description
Qwen3.5-122B-A10B is a multimodal Mixture-of-Experts model with 122 billion total parameters and 10 billion activated parameters. It combines strong reasoning, coding, long-context, and visual understanding performance with production-friendly efficiency and a native 262K context window.
Date de sortie
2026-02-24
Paramètres
122.0B
Longueur du contexte
262K
Modalités
audio, image, text, video
Radar de capacités
26
general
42
coding
83
reasoning
53
science
60
agents
80
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 79 | 45.0 | LS |
| Classement codage | 184 | 57.0 | AA |
| Classement général | 193 | 57.0 | AA |
| Classement multimodal | 24 | 59.0 | LS |
| Science | 181 | 57.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))3d
SUNRGBD
0.36 / 100Aut.
Hypersim
0.13 / 100Aut.
Agents
t2-bench
79.5%Aut.
BFCL-V4
72.2%Aut.
AndroidWorld_SR
66.4%Aut.
BrowseCompOpenAI (2025)
63.8%Aut.
FullStackBench en
62.6%Aut.
WideSearch
60.5%Aut.
FullStackBench zh
58.7%Aut.
OSWorld-Verified
58.0%Aut.
TIR-Bench
53.2%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
49.4%Aut.
VITA-Bench
33.6%Aut.
DeepPlanning
24.1%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
86.6%Aut.
Chemistry
SuperGPQA
67.1%Aut.
Code
SWE-Bench Verified
72.0%Aut.
Communication
Multi-Challenge
61.5%Aut.
Embodied
EmbSpatialBench
0.84 / 100Aut.
Finance
MMLU-Pro
86.7%Aut.
MMLU-ProX
82.2%Aut.
General
MMLU-Redux
94.0%Aut.
IFEvalGoogle Research (2023)
93.4%Aut.
C-Eval
91.9%Aut.
Global PIQA
88.4%Aut.
MAXIFE
87.9%Aut.
MMMLU
86.7%Aut.
MMMU
83.9%Aut.
MMStar
82.9%Aut.
Include
82.8%Aut.
LiveCodeBench v6
78.9%Aut.
MMMU-Pro
76.9%Aut.
IFBench
76.1%Aut.
SimpleVQA
0.62 / 100Aut.
LongBench v2
60.2%Aut.
NOVA-63
58.6%Aut.
Grounding
RefCOCO-avg
0.91 / 100Aut.
ScreenSpot Pro
70.4%Aut.
RefSpatialBench
0.69 / 100Aut.
Healthcare
VideoMMMU
82.0%Aut.
SlakeVQA
81.6%Aut.
MedXpertQA
67.3%Aut.
PMC-VQA
63.3%Aut.
Image To Text
OCRBench
92.1%Aut.
Language
LingoQA
80.8%Aut.
WMT24++
78.3%Aut.
Long Context
MLVU
87.3%Aut.
LVBench
74.4%Aut.
AA-LCR
66.9%Aut.
MMLongBench-Doc
0.59 / 100Aut.
Math
HMMT 2025
91.4%Aut.
HMMT25
90.3%Aut.
MathVista-Mini
87.4%Aut.
MathVision
86.2%Aut.
DynaMath
85.9%Aut.
CodeForces
0.85 / 3000Aut.
PolyMATH
68.9%Aut.
Humanity's Last Exam
47.5%Aut.
Multimodal
VLMsAreBlind
96.7%Aut.
AI2D
93.3%Aut.
V*
93.2%Aut.
MMBench-V1.1
92.8%Aut.
OmniDocBench 1.5
89.8%Aut.
VideoMME w sub.
87.3%Aut.
VideoMME w/o sub.
83.9%Aut.
CC-OCR
81.8%Aut.
CharXiv-R
77.2%Aut.
MVBench
76.6%Aut.
MMVU
74.7%Aut.
BabyVision
40.2%Aut.
ZEROBench-Sub
0.36 / 100Aut.
Nuscene
15.4%Aut.
ZEROBench
0.09 / 100Aut.
Reasoning
CountBench
0.97 / 100Aut.
BrowseComp-zh
69.9%Aut.
Hallusion Bench
67.6%Aut.
ERQA
62.0%Aut.
Seal-0
44.1%Aut.
OJBench
39.5%Aut.
Spatial Reasoning
RealWorldQA
85.1%Aut.
Vision
ODinW
44.5%Aut.
Indices d'évaluation AA
(Artificial Analysis)Coding Index(Artificial Analysis)43.3
Intelligence Index(Artificial Analysis)28.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Lcr(Artificial Analysis)0.6
Ifbench(Google Research (2023))0.5
Terminalbench V2 10.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Biology90
Legal80
Math80
Physics80
Structured Output80
Image To Text80
Instruction Following80
Language80
Embodied80
Finance80
Grounding80
Healthcare80
Chemistry80
Text-to-image80
Video80
Long Context70
Multimodal70
Reasoning70
Spatial Reasoning70
Frontend Development70
General70
Economics70
Vision70
Search60
Agents60
Code60
Communication60
Tool Calling60
Spatial20
3d20
Tarification
Prix d'entrée$0.4 / 1M tokens
Prix de sortie$3.2 / 1M tokens
Prix mixte (3:1)$1.1 / 1M tokens
Vitesse
Tokens/sec148.9
Délai du premier token1.03s
Temps de réponse1.03s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
3 fournisseurs
Moins cher: AlibabaPlus cher: Cortecs
FournisseurEntréeSortie
1AlibabaPRINCIPAL
$0.4
$3.2
2NanoGPT
$0.437
$3.496
3Cortecs
$0.495
$3.46
Comparer les prix entre différents fournisseurs API pour ce modèle.