Grok-3 vs Sarvam-30B Comparison
Comparing Grok-3 and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-3 outperforms in 1 benchmarks (GPQA), while Sarvam-30B is better at 1 benchmark (AIME 2025).
Both models are evenly matched across the 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 Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).
Input Capabilities
Supported data types and modalities
Grok-3 supports multimodal inputs, whereas Sarvam-30B does not.
Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-3
Sarvam-30B
License
Usage and distribution terms
Grok-3 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
Grok-3 was released on 2025-02-17, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 13 months newer than Grok-3.
Feb 17, 2025
1.1 years ago
Mar 6, 2026
1 weeks ago
1.0yr newerKnowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while Sarvam-30B's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Sarvam-30B's cutoff date.
Nov 2024
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Outputs Comparison
Key Takeaways
Sarvam-30B
View detailsSarvam AI
Grok-3
Sarvam-30BDetailed Comparison
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