Model Comparison

Gemini 3.5 Flash-Lite vs Sarvam-30BWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Sarvam-30B across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Sarvam-30B — which is better?

Gemini 3.5 Flash-Lite (by Google) and Sarvam-30B (by Sarvam AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemini 3.5 Flash-Lite if…

  • you want the most recent training data — it shipped Jul 2026

Choose Sarvam-30B if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Sarvam-30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Sarvam-30B does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Sarvam-30B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Sarvam-30B was released on 2026-03-06.

Gemini 3.5 Flash-Lite is 5 months newer than Sarvam-30B.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

4mo newer
Sarvam-30B

Mar 6, 2026

4 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Sarvam-30B's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Sarvam-30B's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Sarvam-30B

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Sarvam AI
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Sarvam-30B side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Sarvam-30B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Sarvam AI
Sarvam-30B

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Sarvam-30B.

Which is better, Gemini 3.5 Flash-Lite or Sarvam-30B?

Gemini 3.5 Flash-Lite (Google) and Sarvam-30B (Sarvam AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to Sarvam-30B in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the context window sizes for Gemini 3.5 Flash-Lite and Sarvam-30B?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Sarvam-30B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and Sarvam-30B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Sarvam-30B?

Gemini 3.5 Flash-Lite is developed by Google and Sarvam-30B is developed by Sarvam AI.

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