GLM-5.3 vs Sarvam-105B
GLM-5.3 significantly outperforms across most benchmarks.
Zhipu AI · Sarvam AI · Updated for 2026
Which is better?
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while Sarvam-105B is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
Choose Sarvam-105B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while Sarvam-105B is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
GLM-5.3 has 648.0B more parameters than Sarvam-105B, making it 617.1% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Sarvam-105B was released on 2026-03-06.
GLM-5.3 is 5 months newer than Sarvam-105B.
Aug 14, 2026
1 weeks ago
5mo newerMar 6, 2026
5 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 GLM-5.3 and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Sarvam-105B.