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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.
Quick Info
Powered by- 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
Compare Qwen3 235B-A22B-2507 pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
Latest news about Qwen3 235B-A22B-2507
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