Phi 4 vs Sarvam-30B
Sarvam-30B leads the LLM Stats Score 19.6 to 5.4.
Microsoft · Sarvam AI · Updated for 2026
Which is better?
Sarvam-30B leads the overall LLM Stats Score 19.6 to 5.4, ranking #205 overall.
In the 4 individual benchmarks reported for both models, Sarvam-30B wins 4; 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 Phi 4
- you want predictable pricing at $0.07/M input and $0.14/M output
Choose Sarvam-30B
- overall performance matters — it scores 19.6 and ranks #205 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Phi 4 · 14 for Sarvam-30B
Phi 4 outperforms in 0 benchmarks, while Sarvam-30B is better at 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro).
Sarvam-30B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Sarvam-30B has 15.3B more parameters than Phi 4, making it 104.1% larger.
Context Window
Maximum input and output token capacity
Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).
License
Usage and distribution terms
Phi 4 is licensed under MIT, while Sarvam-30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi 4 was released on 2024-12-12, while Sarvam-30B was released on 2026-03-06.
Sarvam-30B is 15 months newer than Phi 4.
Dec 12, 2024
1.8 years ago
Mar 6, 2026
6 months ago
1.2yr newerKnowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Sarvam-30B's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.
Jun 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Phi 4 and Sarvam-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi 4 vs Sarvam-30B.