Qwen3-235B-A22B-Thinking-2507 vs Sarvam-105B
Qwen3-235B-A22B-Thinking-2507 and Sarvam-105B are closely matched at 28.0 and 25.7 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Sarvam AI · Updated for 2026
Which is better?
Qwen3-235B-A22B-Thinking-2507 and Sarvam-105B are closely matched on the overall LLM Stats Score at 28.0 and 25.7.
In the 8 individual benchmarks reported for both models, Qwen3-235B-A22B-Thinking-2507 wins 6; 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 Qwen3-235B-A22B-Thinking-2507
- you value its reported benchmark strengths — it wins 6 of 8 exact shared results
Choose Sarvam-105B
- 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
25 reported for Qwen3-235B-A22B-Thinking-2507 · 14 for Sarvam-105B
Qwen3-235B-A22B-Thinking-2507 outperforms in 6 benchmarks (Arena-Hard v2, GPQA, Humanity's Last Exam, IFEval, LiveCodeBench v6, MMLU-Pro), while Sarvam-105B is better at 2 benchmarks (AIME 2025, HMMT25).
Qwen3-235B-A22B-Thinking-2507 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
Qwen3-235B-A22B-Thinking-2507 has 130.0B more parameters than Sarvam-105B, making it 123.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
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
Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Sarvam-105B was released on 2026-03-06.
Sarvam-105B is 7 months newer than Qwen3-235B-A22B-Thinking-2507.
Jul 25, 2025
1.2 years ago
Mar 6, 2026
7 months ago
7mo newerKnowledge 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 Qwen3-235B-A22B-Thinking-2507 and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3-235B-A22B-Thinking-2507 vs Sarvam-105B.