o1 vs Sarvam-30B Comparison
Comparing o1 and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
o1 outperforms in 3 benchmarks (GPQA, MMLU, SWE-Bench Verified), while Sarvam-30B is better at 1 benchmark (HumanEval).
o1 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 o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
License
Usage and distribution terms
o1 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
o1 was released on 2024-12-17, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 15 months newer than o1.
Dec 17, 2024
1.2 years ago
Mar 6, 2026
1 weeks ago
1.2yr 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
o1
View detailsOpenAI
Sarvam-30B
View detailsSarvam AI
Detailed Comparison
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