Qwen3-235B-A22B-Thinking-2507 vs Step3-VL-10B Comparison
Comparing Qwen3-235B-A22B-Thinking-2507 and Step3-VL-10B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3-235B-A22B-Thinking-2507 outperforms in 1 benchmarks (AIME 2025), while Step3-VL-10B is better at 0 benchmarks.
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3-235B-A22B-Thinking-2507 has 225.0B more parameters than Step3-VL-10B, making it 2250.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Step3-VL-10B supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Step3-VL-10B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3-235B-A22B-Thinking-2507
Step3-VL-10B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Step3-VL-10B was released on 2026-01-15.
Step3-VL-10B is 6 months newer than Qwen3-235B-A22B-Thinking-2507.
Jul 25, 2025
7 months ago
Jan 15, 2026
1 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Step3-VL-10B
View detailsStepFun
Detailed Comparison
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