DiffusionGemma 26B-A4B vs Sarvam-105B
Sarvam-105B leads the LLM Stats Score 25.7 to 19.4.
Google · Sarvam AI · Updated for 2026
Which is better?
Sarvam-105B leads the overall LLM Stats Score 25.7 to 19.4, ranking #152 overall.
In the 4 individual benchmarks reported for both models, Sarvam-105B wins 3; 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 DiffusionGemma 26B-A4B
- you want the most recent training data — it shipped Jun 2026
Choose Sarvam-105B
- overall performance matters — it scores 25.7 and ranks #152 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DiffusionGemma 26B-A4B · 14 for Sarvam-105B
DiffusionGemma 26B-A4B outperforms in 1 benchmarks (Humanity's Last Exam), while Sarvam-105B is better at 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro).
Sarvam-105B shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Sarvam-105B has 79.8B more parameters than DiffusionGemma 26B-A4B, making it 316.7% larger.
Input capabilities
Documented input modalities across available providers
DiffusionGemma 26B-A4B supports multimodal inputs, whereas Sarvam-105B does not.
DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DiffusionGemma 26B-A4B
Sarvam-105B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DiffusionGemma 26B-A4B was released on 2026-06-10, while Sarvam-105B was released on 2026-03-06.
DiffusionGemma 26B-A4B is 3 months newer than Sarvam-105B.
Jun 10, 2026
3 months ago
3mo newerMar 6, 2026
6 months ago
Knowledge Cutoff
When training data ends
DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Sarvam-105B's cutoff date is not specified.
We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Sarvam-105B's cutoff date.
Jan 2025
—
Outputs Comparison
Judge for yourself.
Run your own prompts against DiffusionGemma 26B-A4B and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DiffusionGemma 26B-A4B vs Sarvam-105B.