GPT-4o vs Sarvam-30B
Sarvam-30B leads the LLM Stats Score 19.6 to 14.1.
OpenAI · Sarvam AI · Updated for 2026
Which is better?
Sarvam-30B leads the overall LLM Stats Score 19.6 to 14.1, ranking #204 overall.
The models split the 4 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Sarvam-30B
- overall performance matters — it scores 19.6 and ranks #204 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Mar 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
38 reported for GPT-4o · 14 for Sarvam-30B
GPT-4o outperforms in 2 benchmarks (GPQA, MMLU), while Sarvam-30B is better at 2 benchmarks (MMLU-Pro, SWE-Bench Verified).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Sarvam-30B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Sarvam-30B
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-08-06, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 19 months newer than GPT-4o.
Aug 6, 2024
2.1 years ago
Mar 6, 2026
6 months 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
Judge for yourself.
Run your own prompts against GPT-4o and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Sarvam-30B.