Model Comparison
DeepSeek R1 Distill Qwen 32B vs Grok-4.1 ThinkingWhich is better in 2026?
Comparing DeepSeek R1 Distill Qwen 32B and Grok-4.1 Thinking across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Qwen 32B vs Grok-4.1 Thinking — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Grok-4.1 Thinking (by xAI) 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.
On price, DeepSeek R1 Distill Qwen 32B is roughly 44.4x 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.
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 44.4x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok-4.1 Thinking if…
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B and Grok-4.1 Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 25.0x cheaper than Grok-4.1 Thinking ($3.00/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 83.3x cheaper than Grok-4.1 Thinking ($15.00/1M tokens).
In conclusion, Grok-4.1 Thinking is more expensive than DeepSeek R1 Distill Qwen 32B.*
* 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 DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Grok-4.1 Thinking is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Grok-4.1 Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Grok-4.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Grok-4.1 Thinking
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Grok-4.1 Thinking uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Grok-4.1 Thinking was released on 2025-11-17.
Grok-4.1 Thinking is 10 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.5 years ago
Nov 17, 2025
8 months ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Grok-4.1 Thinking is available from xAI.
DeepSeek R1 Distill Qwen 32B
Grok-4.1 Thinking
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Grok-4.1 Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Grok-4.1 Thinking.