Mistral Large 4 vs Sarvam-30B
Mistral Large 4 leads the LLM Stats Score 46.2 to 19.5.
Mistral AI · Sarvam AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 19.5, ranking #34 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
Choose Sarvam-30B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Mistral Large 4 · 14 for Sarvam-30B
Mistral Large 4 and Sarvam-30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Large 4 has 1020.0B more parameters than Sarvam-30B, making it 3400.0% larger.
Context Window
Maximum input and output token capacity
Only Mistral Large 4 specifies input context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Sarvam-30B does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 4
Sarvam-30B
License
Usage and distribution terms
Mistral Large 4 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
Mistral Large 4 was released on 2026-10-06, while Sarvam-30B was released on 2026-03-06.
Mistral Large 4 is 7 months newer than Sarvam-30B.
Oct 6, 2026
1 days ago
7mo 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 Mistral Large 4 and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Sarvam-30B.