GPT-5.2 vs Sarvam-30B Comparison
Comparing GPT-5.2 and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.2 outperforms in 5 benchmarks (AIME 2025, BrowseComp, GPQA, HMMT 2025, SWE-Bench Verified), while Sarvam-30B is better at 0 benchmarks.
GPT-5.2 significantly outperforms across most 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 GPT-5.2 specifies input context (400,000 tokens). Only GPT-5.2 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.2 supports multimodal inputs, whereas Sarvam-30B does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.2
Sarvam-30B
License
Usage and distribution terms
GPT-5.2 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
GPT-5.2 was released on 2025-12-11, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 3 months newer than GPT-5.2.
Dec 11, 2025
3 months ago
Mar 6, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Sarvam-30B's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Sarvam-30B's cutoff date.
Aug 2025
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Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
Sarvam-30B
View detailsSarvam AI
Detailed Comparison
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