GPT-5 nano vs Sarvam-30B
GPT-5 nano and Sarvam-30B are closely matched at 19.1 and 19.2 on the LLM Stats Score.
OpenAI · Sarvam AI · Updated for 2026
Which is better?
GPT-5 nano and Sarvam-30B are closely matched on the overall LLM Stats Score at 19.1 and 19.2.
In the 3 individual benchmarks reported for both models, GPT-5 nano wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5 nano
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Sarvam-30B
- 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
5 reported for GPT-5 nano · 14 for Sarvam-30B
GPT-5 nano outperforms in 2 benchmarks (GPQA, HMMT 2025), while Sarvam-30B is better at 1 benchmark (AIME 2025).
GPT-5 nano shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-5 nano supports multimodal inputs, whereas Sarvam-30B does not.
GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 nano
Sarvam-30B
License
Usage and distribution terms
GPT-5 nano 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 nano was released on 2025-08-07, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 7 months newer than GPT-5 nano.
Aug 7, 2025
1.2 years ago
Mar 6, 2026
7 months ago
7mo newerKnowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Sarvam-30B's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Sarvam-30B's cutoff date.
May 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 nano and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 nano vs Sarvam-30B.