MAI-Thinking-1 vs Sarvam-30B
MAI-Thinking-1 leads the LLM Stats Score 32.4 to 18.9.
Microsoft · Sarvam AI · Updated for 2026
Which is better?
MAI-Thinking-1 leads the overall LLM Stats Score 32.4 to 18.9, ranking #130 overall.
In the 5 individual benchmarks reported for both models, MAI-Thinking-1 wins 5; 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 MAI-Thinking-1
- overall performance matters — it scores 32.4 and ranks #130 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Jun 2026
Choose Sarvam-30B
- 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
23 reported for MAI-Thinking-1 · 14 for Sarvam-30B
MAI-Thinking-1 outperforms in 5 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, MMLU-Pro, SWE-Bench Verified), while Sarvam-30B is better at 0 benchmarks.
MAI-Thinking-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MAI-Thinking-1 has 970.0B more parameters than Sarvam-30B, making it 3233.3% larger.
License
Usage and distribution terms
MAI-Thinking-1 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
MAI-Thinking-1 was released on 2026-06-02, while Sarvam-30B was released on 2026-03-06.
MAI-Thinking-1 is 3 months newer than Sarvam-30B.
Jun 2, 2026
5 months ago
2mo newerMar 6, 2026
7 months ago
Knowledge 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 MAI-Thinking-1 and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Thinking-1 vs Sarvam-30B.