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Model details

Qwen3 235B-A22B-2507

Qwen3-235B-A22B-2507 is an updated release in Alibaba's Qwen family of large language models, positioned as an open-source alternative to other frontier systems. It is built on a mixture-of-experts architecture, indicated by the "A22B" designator that signals 22 billion activated parameters drawn from a much larger 235 billion parameter total pool, allowing efficient inference while retaining strong reasoning capacity. VentureBeat reports that the new variant was published under permissive open-source licensing terms, enabling organizations to download, customize, run, and use the models commercially, similar in role to DeepSeek in the open-weight ecosystem.

Independent coverage highlights Qwen3-235B-A22B-2507-Instruct as a standout for top performance among power users, edging out rival Chinese model Kimi-K2 on third-party benchmarks covering math, science, reasoning, and writing tasks. VentureBeat describes the Qwen3 family as scoring high on these evaluation suites, with this particular snapshot attracting attention for its competitive standing against Moonshot's mid-July 2025 release. Its practical fit is therefore broad enterprise and research workloads that benefit from an open-weights model with strong general reasoning, long-context handling, and flexible deployment, while remaining customizable for downstream applications.

TensorXqwen/qwen3-235b-a22b-2507qwen

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Provider
TensorX
Model key
qwen/qwen3-235b-a22b-2507
Release date
Jul 21, 2025
Last updated
Jul 21, 2025
Knowledge cutoff
2025-06-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.072
Output token cost
$0.464

Limits

Output tokens
262,144 tokens
Context window
131,000 tokens

Transparent token rates

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

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