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Model details

Qwen3 235B-A22B Instruct 2507

Qwen3 235B A22B 2507 is built on a Mixture of Experts architecture that distributes computation across 128 expert networks, activating 22 billion parameters during each forward pass. This design philosophy makes it a general-purpose powerhouse optimized for instruction following, logical reasoning, mathematics, science, coding, and tool usage. The model natively supports a 262,144-token context window with enhanced long-context understanding up to 256K tokens, enabling complex multi-turn conversations and document-level analysis. Its multilingual capabilities span improvements across numerous languages, with strong performance on math reasoning tasks like AIME and HMMT as well as alignment benchmarks such as Arena-Hard and WritingBench. The architecture is FP8-quantized for operational efficiency without sacrificing output quality, making it practical for demanding real-world applications.

The Qwen series emerged from Alibaba's broader AI strategy beginning with the Tongyi Qianwen chatbot launch in April 2023, and Qwen3 specifically arrived in April 2025 as the team pushed toward benchmark-beating performance. This instruction-tuned variant builds on the base architecture with significant improvements in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. Comparative analysis shows this model edging out competitors like Kimi-2 and GLM-4.5 in quality index scores, with notably strong performance on MMLU-Pro (83.0), AIME25 Math (70.3), and LiveCodeBench (51.8). Released under Apache 2.0 licensing, it is available for commercial deployment and customization, allowing enterprises to run it locally or through cloud services. The combination of open-weight accessibility, tool-calling capabilities, and strong reasoning performance positions it well for agentic workflows, developer tooling, and multilingual enterprise applications.

Amazon Bedrockqwen.qwen3-235b-a22b-2507-v1:0qwen

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Provider
Amazon Bedrock
Model key
qwen.qwen3-235b-a22b-2507-v1:0
Release date
Jul 21, 2025
Last updated
Sep 18, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.22
Output token cost
$0.88

Limits

Output tokens
131,072 tokens
Context window
262,144 tokens

Transparent token rates

Compare Qwen3 235B-A22B Instruct 2507 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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