Grok-4.1 vs Qwen3 VL 235B A22B Thinking
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Thinking is 5.0x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok-4.1 outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (Creative Writing v3). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
On price, Qwen3 VL 235B A22B Thinking is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 235B A22B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Grok-4.1
- you want the most recent training data — it shipped Nov 2025
Choose Qwen3 VL 235B A22B Thinking
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 5.0x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- 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
Grok-4.1 outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (Creative Writing v3).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-4.1 ($3.00/1M tokens) is 6.7x more expensive than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).
For output processing, Grok-4.1 ($15.00/1M tokens) is 4.3x more expensive than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).
In conclusion, Grok-4.1 is more expensive than Qwen3 VL 235B A22B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to Grok-4.1's 256,000 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Grok-4.1 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Both Grok-4.1 and Qwen3 VL 235B A22B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-4.1
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Grok-4.1 is licensed under a proprietary license, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok-4.1 was released on 2025-11-17, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Grok-4.1 is 2 months newer than Qwen3 VL 235B A22B Thinking.
Nov 17, 2025
9 months ago
1mo newerSep 22, 2025
11 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok-4.1 is available from xAI. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.
Grok-4.1
Qwen3 VL 235B A22B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-4.1 and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-4.1 vs Qwen3 VL 235B A22B Thinking.