Qwen3 0.6B (Reasoning)
Q

Qwen3 0.6B (Reasoning)

Intelligence(Relatively Weak)
Speed(Fast)
Input Supported Modalities
Yes
Is Reasoning Model
32,000
Context Window
0
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

- /M tokens
Input
- /M tokens
Output
¥2.86 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Qwen2.5 Turbo
Qwen Turbo
Wan2.2

Basic Parameters

Qwen3 0.6B (Reasoning)Technical Parameters
Parameter Count
Not Announced
Context Length
32.00k tokens
Training Data Cutoff
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
0
Release Date
2025-04-28
Response Speed
227.00,304 tokens/s

Benchmark Scores

Below is the performance of Qwen3 0.6B (Reasoning) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
23.2
Large Language Model Intelligence Level
Coding Index
7.42
Indicator of AI model performance on coding tasks
Math Index
42.5
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
34.7
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
23.9
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
5.7
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
12.1
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
2.8
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
49
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
75
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
10
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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