Gemini 2.5 Pro vs Sarvam-30B Comparison
Comparing Gemini 2.5 Pro and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Sarvam-30B is better at 1 benchmark (AIME 2025).
Gemini 2.5 Pro shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro supports multimodal inputs, whereas Sarvam-30B does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Pro
Sarvam-30B
License
Usage and distribution terms
Gemini 2.5 Pro 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Pro was released on 2025-05-20, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 10 months newer than Gemini 2.5 Pro.
May 20, 2025
9 months ago
Mar 6, 2026
1 weeks ago
9mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Sarvam-30B's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Sarvam-30B's cutoff date.
Jan 2025
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Outputs Comparison
Key Takeaways
Sarvam-30B
View detailsSarvam AI
Gemini 2.5 Pro
Sarvam-30BDetailed Comparison
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