GPT-5.4 vs Sarvam-30B Comparison
Comparing GPT-5.4 and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.4 outperforms in 2 benchmarks (BrowseComp, GPQA), while Sarvam-30B is better at 0 benchmarks.
GPT-5.4 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-5.4 specifies input context (1,000,000 tokens). Only GPT-5.4 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.4 supports multimodal inputs, whereas Sarvam-30B does not.
GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.4
Sarvam-30B
License
Usage and distribution terms
GPT-5.4 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-5.4 was released on 2026-03-05, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 0 month newer than GPT-5.4.
Mar 5, 2026
1 weeks ago
Mar 6, 2026
1 weeks ago
1d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GPT-5.4
View detailsOpenAI
Sarvam-30B
View detailsSarvam AI
Detailed Comparison
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