GPT-4o vs Sarvam-105B Comparison
Comparing GPT-4o and Sarvam-105B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while Sarvam-105B is better at 6 benchmarks (GPQA, Humanity's Last Exam, IFEval, MMLU, MMLU-Pro, SWE-Bench Verified).
Sarvam-105B 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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Sarvam-105B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Sarvam-105B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Sarvam-105B 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-4o was released on 2024-08-06, while Sarvam-105B was released on 2026-03-06.
Sarvam-105B is 19 months newer than GPT-4o.
Aug 6, 2024
1.6 years ago
Mar 6, 2026
1 weeks ago
1.6yr 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-4o
View detailsOpenAI
Sarvam-105B
View detailsSarvam AI
Detailed Comparison
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