Kimi K2.5 vs Sarvam-30B
Kimi K2.5 leads the LLM Stats Score 38.8 to 19.6.
Moonshot AI · Sarvam AI · Updated for 2026
Which is better?
Kimi K2.5 leads the overall LLM Stats Score 38.8 to 19.6, ranking #62 overall.
In the 7 individual benchmarks reported for both models, Kimi K2.5 wins 6; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2.5
- overall performance matters — it scores 38.8 and ranks #62 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
Choose Sarvam-30B
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
40 reported for Kimi K2.5 · 14 for Sarvam-30B
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.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Kimi K2.5 has 970.0B more parameters than Sarvam-30B, making it 3233.3% 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
Documented input modalities across available providers
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
7 months ago
Mar 6, 2026
6 months 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
Judge for yourself.
Run your own prompts against Kimi K2.5 and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.5 vs Sarvam-30B.