Model Comparison
Kimi K2.5 vs Step3-VL-10B
Kimi K2.5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 2 benchmarks (AIME 2025, MathVision), while Step3-VL-10B is better at 0 benchmarks.
Kimi K2.5 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
Kimi K2.5 has 990.0B more parameters than Step3-VL-10B, making it 9900.0% larger.
Context Window
Maximum input and output token capacity
Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).
Input Capabilities
Supported data types and modalities
Both Kimi K2.5 and Step3-VL-10B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
Step3-VL-10B
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Step3-VL-10B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Step3-VL-10B was released on 2026-01-15.
Kimi K2.5 is 0 month newer than Step3-VL-10B.
Jan 27, 2026
2 months ago
1w newerJan 15, 2026
2 months ago
Knowledge 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
Kimi K2.5
View detailsMoonshot AI
Step3-VL-10B
View detailsStepFun
Detailed Comparison
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FAQ
Common questions about Kimi K2.5 vs Step3-VL-10B