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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

3
general
1
coding
24
reasoning
13
science
20
agents
10
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique144
27.0
LS
Classement codage539
4.0
AA
Classement général505
21.0
AA
Science567
9.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-V425.3%Aut.
t2-bench11.6%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)11.9%Aut.

Chemistry

SuperGPQA21.3%Aut.

Communication

Multi-Challenge18.9%Aut.

Finance

MMLU-Pro42.3%Aut.
MMLU-ProX34.6%Aut.

General

MMLU-Redux59.5%Aut.
Global PIQA59.4%Aut.
C-Eval50.5%Aut.
MMMLU44.3%Aut.
IFEvalGoogle Research (2023)44.0%Aut.
NOVA-6342.4%Aut.
Include40.6%Aut.
MAXIFE39.2%Aut.
LongBench v226.1%Aut.
IFBench21.0%Aut.

Language

WMT24++27.2%Aut.

Long Context

AA-LCR4.7%Aut.

Math

PolyMATH8.2%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
2.9
Coding Index(Artificial Analysis)
1.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.2
Ifbench(Google Research (2023))
0.2
Lcr(Artificial Analysis)
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Scicode(UIUC + Argonne National Lab (2024))
0.0
Terminalbench V2 1
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Math
40
Structured Output
40
Language
40
Legal
30
Physics
30
Reasoning
30
Instruction Following
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