Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 134.3K more tokens in context window than DeepSeek-V3.2-Speciale. Both models have similar pricing. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 with 685 billion total parameters, made available for a limited period in December 2025. It was released without tool-calling support but demonstrated exceptional reasoning performance, achieving gold-medal results in the 2025 IMO and IOI competitions. DeepSeek-V3.2-Speciale targets research and benchmarking use cases requiring maximum reasoning capability under an MIT license.
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.
2 months newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23

DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Cost per million tokens (USD)
DeepSeek-V3.2-Speciale
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2-Speciale
DeepSeek
Qwen3-VL-235B-A22B
DeepSeek-V3.2-Speciale
Qwen3-VL-235B-A22B
DeepSeek-V3.2-Speciale
Qwen3-VL-235B-A22B
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