Model Comparison

Gemini 2.5 Flash-Lite vs Sarvam-30BWhich is better in 2026?

Sarvam-30B significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Flash-Lite vs Sarvam-30B — which is better?

Gemini 2.5 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.

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.

Choose Gemini 2.5 Flash-Lite if…

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Sarvam-30B if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

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.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Sarvam-30B

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.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.1 years ago

Sarvam-30B

Mar 6, 2026

4 months ago

8mo newer

Knowledge 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.

Gemini 2.5 Flash-Lite

Jan 2025

Sarvam-30B

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Sarvam AI
Higher AIME 2025 score (96.7% vs 49.8%)
Higher GPQA score (66.5% vs 64.6%)
Higher SWE-Bench Verified score (34.0% vs 31.6%)

Detailed Comparison

Interactive Arena

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.

Gemini 2.5 Flash-Lite
✓ Preferred
Sarvam-30B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Sarvam AI
Sarvam-30B

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Sarvam-30B.

Which is better, Gemini 2.5 Flash-Lite or Sarvam-30B?

Sarvam-30B significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and Sarvam-30B is made by Sarvam AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Flash-Lite compare to Sarvam-30B in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. 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 2.5 Flash-Lite and Sarvam-30B?

Gemini 2.5 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 2.5 Flash-Lite and Sarvam-30B?

Key differences include multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Sarvam-30B?

Gemini 2.5 Flash-Lite is developed by Google and Sarvam-30B is developed by Sarvam AI.

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