Kimi K2.5 vs Sarvam-30B Comparison
Comparing Kimi K2.5 and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 6 benchmarks (BrowseComp, GPQA, HMMT 2025, LiveCodeBench v6, MMLU-Pro, SWE-Bench Verified), while Sarvam-30B is better at 1 benchmark (AIME 2025).
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 970.0B more parameters than Sarvam-30B, making it 3233.3% larger.
Input Capabilities
Supported data types and modalities
Kimi K2.5 supports multimodal inputs, whereas Sarvam-30B does not.
Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.5
Sarvam-30B
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Sarvam-30B 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 Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 1 month newer than Kimi K2.5.
Jan 27, 2026
1 months ago
Mar 6, 2026
1 weeks ago
1mo 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
Kimi K2.5
View detailsMoonshot AI
Sarvam-30B
View detailsSarvam AI
Detailed Comparison
| Feature | | |
|---|