Model Comparison
Grok-4 vs Qwen3 VL 8B ThinkingWhich is better in 2026?
Grok-4 significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is 9.1x cheaper per token.
Verdict: Grok-4 vs Qwen3 VL 8B Thinking — which is better?
Grok-4 (by xAI) and Qwen3 VL 8B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Grok-4 outperforms in 3 benchmarks (AIME 2025, GPQA, HMMT25), while Qwen3 VL 8B Thinking is better at 0 benchmarks. Grok-4 significantly outperforms across most benchmarks.
On price, Qwen3 VL 8B Thinking is roughly 9.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 8B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Grok-4 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Choose Qwen3 VL 8B Thinking if…
- cost matters — it's about 9.1x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok-4 outperforms in 3 benchmarks (AIME 2025, GPQA, HMMT25), while Qwen3 VL 8B Thinking is better at 0 benchmarks.
Grok-4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-4 ($3.00/1M tokens) is 16.7x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).
For output processing, Grok-4 ($15.00/1M tokens) is 7.2x more expensive than Qwen3 VL 8B Thinking ($2.09/1M tokens).
In conclusion, Grok-4 is more expensive than Qwen3 VL 8B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 8B Thinking accepts 262,144 input tokens compared to Grok-4's 256,000 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while Grok-4 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Both Grok-4 and Qwen3 VL 8B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-4
Qwen3 VL 8B Thinking
License
Usage and distribution terms
Grok-4 is licensed under a proprietary license, while Qwen3 VL 8B 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 was released on 2025-07-09, while Qwen3 VL 8B Thinking was released on 2025-09-22.
Qwen3 VL 8B Thinking is 3 months newer than Grok-4.
Jul 9, 2025
11 months ago
Sep 22, 2025
9 months ago
2mo newerKnowledge Cutoff
When training data ends
Grok-4 has a documented knowledge cutoff of 2024-12-31, while Qwen3 VL 8B Thinking's cutoff date is not specified.
We can confirm Grok-4's training data extends to 2024-12-31, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.
Dec 2024
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Provider Availability
Grok-4 is available from xAI. Qwen3 VL 8B Thinking is available from DeepInfra.
Grok-4
Qwen3 VL 8B Thinking
Outputs Comparison
Key Takeaways
Qwen3 VL 8B Thinking
View detailsAlibaba Cloud / Qwen Team
Grok-4
Qwen3 VL 8B ThinkingDetailed Comparison
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FAQ
Common questions about Grok-4 vs Qwen3 VL 8B Thinking.