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DeepSeek-V3.1 vs Qwen3-VL-235B-A22B
Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 134.3K more tokens in context window than DeepSeek-V3.1. Both models have similar pricing. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
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Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
1 month newer
DeepSeek-V3.1
DeepSeek
2025-08-21
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.10
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Qwen3-VL-235B-A22B
Input:$0.25
Output:$0.75($0.37 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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Qwen3-VL-235B-A22B
1 providers
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DeepSeek-V3.1
Avg Score:0.0%
Providers:1
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Qwen3-VL-235B-A22B
Avg Score:0.0%
Providers:1