Qwen3 VL 235B A22B Thinking vs Sarvam-105B
Both models are evenly matched across the benchmarks.
Alibaba Cloud / Qwen Team · Sarvam AI · Updated for 2026
Which is better?
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.
Based on current benchmark, 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 want the strongest raw capability — it leads on 4 of 7 shared benchmarks
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Playground indexes and blind 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
Supported data types and modalities
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
11 months ago
Mar 6, 2026
5 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.