Qwen3 VL 235B A22B Thinking vs Sarvam-105B
Qwen3 VL 235B A22B Thinking and Sarvam-105B are closely matched at 26.3 and 25.2 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Sarvam AI · Updated for 2026
Which is better?
Qwen3 VL 235B A22B Thinking and Sarvam-105B are closely matched on the overall LLM Stats Score at 26.3 and 25.2.
In the 7 individual benchmarks reported for both models, Sarvam-105B 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 Qwen3 VL 235B A22B Thinking
- you want predictable pricing at $0.45/M input and $3.49/M output
Choose Sarvam-105B
- you value its reported benchmark strengths — it wins 4 of 7 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
67 reported for Qwen3 VL 235B A22B Thinking · 14 for Sarvam-105B
Qwen3 VL 235B A22B Thinking outperforms in 3 benchmarks (Humanity's Last Exam, IFEval, MMLU-Pro), while Sarvam-105B is better at 3 benchmarks (AIME 2025, HMMT25, LiveCodeBench v6).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 131.0B more parameters than Sarvam-105B, making it 124.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Sarvam-105B does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3 VL 235B A22B Thinking
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
Qwen3 VL 235B A22B Thinking was released on 2025-09-22, while Sarvam-105B was released on 2026-03-06.
Sarvam-105B is 6 months newer than Qwen3 VL 235B A22B Thinking.
Sep 22, 2025
1.1 years ago
Mar 6, 2026
7 months ago
5mo 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 VL 235B A22B Thinking and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3 VL 235B A22B Thinking vs Sarvam-105B.