Grok-4.1 Thinking vs Qwen3 VL 8B Instruct
Grok-4.1 Thinking leads the LLM Stats Score 15.9 to 14.1. Qwen3 VL 8B Instruct is 32.4x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok-4.1 Thinking leads the overall LLM Stats Score 15.9 to 14.1, ranking #215 overall.
On price, Qwen3 VL 8B Instruct is roughly 32.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-4.1 Thinking also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Grok-4.1 Thinking
- overall performance matters — it scores 15.9 and ranks #215 on LLM Stats
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Qwen3 VL 8B Instruct
- cost matters — it's about 32.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Grok-4.1 Thinking · 46 for Qwen3 VL 8B Instruct
Grok-4.1 Thinking and Qwen3 VL 8B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-4.1 Thinking ($3.00/1M tokens) is 37.5x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).
For output processing, Grok-4.1 Thinking ($15.00/1M tokens) is 30.0x more expensive than Qwen3 VL 8B Instruct ($0.50/1M tokens).
In conclusion, Grok-4.1 Thinking is more expensive than Qwen3 VL 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok-4.1 Thinking accepts 256,000 input tokens compared to Qwen3 VL 8B Instruct's 131,072 tokens. Qwen3 VL 8B Instruct can generate longer responses up to 32,768 tokens, while Grok-4.1 Thinking is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Grok-4.1 Thinking and Qwen3 VL 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-4.1 Thinking
Qwen3 VL 8B Instruct
License
Usage and distribution terms
Grok-4.1 Thinking is licensed under a proprietary license, while Qwen3 VL 8B Instruct 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 Thinking was released on 2025-11-17, while Qwen3 VL 8B Instruct was released on 2025-09-22.
Grok-4.1 Thinking is 2 months newer than Qwen3 VL 8B Instruct.
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 Thinking is available from xAI. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.
Grok-4.1 Thinking
Qwen3 VL 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-4.1 Thinking and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-4.1 Thinking vs Qwen3 VL 8B Instruct.