Claude 3.7 Sonnet vs Sarvam-30B Comparison
Comparing Claude 3.7 Sonnet and Sarvam-30B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Sarvam-30B is better at 2 benchmarks (AIME 2025, MATH-500).
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 Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Claude 3.7 Sonnet supports multimodal inputs, whereas Sarvam-30B does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.7 Sonnet
Sarvam-30B
License
Usage and distribution terms
Claude 3.7 Sonnet 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
Claude 3.7 Sonnet was released on 2025-02-24, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 13 months newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.0 years ago
Mar 6, 2026
1 weeks ago
1.0yr 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
Claude 3.7 Sonnet
View detailsAnthropic
Sarvam-30B
View detailsSarvam AI
Claude 3.7 Sonnet
Sarvam-30BDetailed Comparison
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