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Qwen3.5 0.8B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

Qwen3.5-0.8B is a 0.8 billion parameter vision-language model using Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports 262K native context length and features both thinking and non-thinking modes.

Date de sortie
2026-03-02
Paramètres
800M
Longueur du contexte
—
Modalités
—

Radar de capacités

5
general
1
coding
24
reasoning
18
science
20
agents
10
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique107
27.0
LS
Classement codage623
3.0
AA
Classement général557
22.0
AA
Science636
12.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench11.6%Aut.

Chat

IFEvalGoogle Research (2023)44.0%Aut.
Multi-Challenge18.9%Aut.

General

C-Eval50.5%Aut.
NOVA-6342.4%Aut.
Include40.6%Aut.
MAXIFE39.2%Aut.

Instruction Following

IFBench21.0%Aut.

Language

MMLU-Redux59.5%Aut.
MMMLU44.3%Aut.
MMLU-Pro42.3%Aut.
MMLU-ProX34.6%Aut.
WMT24++27.2%Aut.

Long Context

LongBench v226.1%Aut.

Math

PolyMATH8.2%Aut.

Reasoning

Global PIQA59.4%Aut.
SuperGPQA21.3%Aut.
GPQANYU + Cohere + Anthropic (2023)11.9%Aut.
AA-LCR4.7%Aut.

Tool Calling

BFCL-V425.3%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
65.2
Gpqa(NYU + Cohere + Anthropic (2023))
23.6
Ifbench(Google Research (2023))
21.6
Lcr(Artificial Analysis)
8.0
Intelligence Index(Artificial Analysis)
5.4
Hle(Center for AI Safety + Scale AI (2025))
5.1
Coding Index(Artificial Analysis)
1.2
Terminalbench V2 1
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Language
40
Math
40
Structured Output
40
Chat
30
Instruction Following
30
Legal
30
Physics
30
Reasoning
30
Finance
30
General
30
Healthcare
30
Long Context
20
Agents
20
Chemistry
20
Communication
20
Economics
20
Tool Calling
20
Multimodal
10
Spatial Reasoning
10
Biology
10
Vision
10

Tarification

Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Aucune donnée de fournisseur disponible

Sources externes

LLM StatsArtificial Analysis