Gemini 2.5 Flash-Lite vs Sarvam-30B
Sarvam-30B leads the LLM Stats Score 19.5 to 10.4.
Google · Sarvam AI · Updated for 2026
Which is better?
Sarvam-30B leads the overall LLM Stats Score 19.5 to 10.4, ranking #218 overall.
In the 3 individual benchmarks reported for both models, Sarvam-30B wins 3; 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 Gemini 2.5 Flash-Lite
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose Sarvam-30B
- overall performance matters — it scores 19.5 and ranks #218 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- 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
13 reported for Gemini 2.5 Flash-Lite · 14 for Sarvam-30B
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Sarvam-30B is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).
Sarvam-30B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Sarvam-30B does not.
Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Flash-Lite
Sarvam-30B
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Sarvam-30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 9 months newer than Gemini 2.5 Flash-Lite.
Jun 17, 2025
1.3 years ago
Mar 6, 2026
7 months ago
8mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Sarvam-30B's cutoff date is not specified.
We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.
Jan 2025
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Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash-Lite and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash-Lite vs Sarvam-30B.