Analysis Summary
Qwen3 235B A22B Instruct 2507 is a large open model with a strong mathematical profile and useful breadth across coding, instruction following, and long-context tasks. Its 262K context window supports substantial documents and code inputs, while tool use and function calling make it suitable for structured workflows. The text-only interface keeps the model focused on language and reasoning tasks.
It is a good fit for mathematical analysis, technical content, code generation, SEO workflows, and tool-connected automation where price efficiency matters. The broader intelligence and agentic results are not at flagship level, and the terminal performance suggests caution with autonomous software operations. Instruction following is usable but not consistently reliable enough for every client-facing workflow.
Low pricing improves its role as a volume model. Adopt it for cost-sensitive technical and structured workloads, with human review or a stronger model for complex decisions.
Assessed August 9, 2026
Editorial notes
Qwen3 235B A22B Instruct 2507 delivers strong mathematical results, a 262K context window, tool use, function calling, and low pricing. General reasoning, coding reliability, and agentic execution remain below flagship standards.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 235B A22B Instruct 2507 delivers strong mathematical results, a 262K context window, tool use, function calling, and low pricing. General reasoning, coding reliability, and agentic execution remain below flagship standards.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
19.6 Intelligence Index·22.1 Coding Index·33.4 Agentic Index·91 Math Index
How Qwen: Qwen3 235B A22B Instruct 2507 compares
Qwen: Qwen3 235B A22B Instruct 2507 ranks #182 of 427 AI models we track for overall intelligence, #133 of 200 for coding, #49 of 182 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.09 per million input tokens it is cheaper than 70% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000090 |
| Output | $0.55 | $0.000550 |
What would Qwen: Qwen3 235B A22B Instruct 2507 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 235B A22B Instruct 2507 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,..
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Frequently asked questions about Qwen: Qwen3 235B A22B Instruct 2507
How much does Qwen: Qwen3 235B A22B Instruct 2507 cost?
Qwen: Qwen3 235B A22B Instruct 2507 costs $0.09 per million input tokens and $0.55 per million output tokens.
What is the context window of Qwen: Qwen3 235B A22B Instruct 2507?
Qwen: Qwen3 235B A22B Instruct 2507 has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3 235B A22B Instruct 2507 good for coding?
On our coding benchmark index, Qwen: Qwen3 235B A22B Instruct 2507 ranks #133 of 200 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 235B A22B Instruct 2507 do?
Qwen: Qwen3 235B A22B Instruct 2507 supports tool use and function calling.
Who created Qwen: Qwen3 235B A22B Instruct 2507?
Qwen: Qwen3 235B A22B Instruct 2507 is developed by Qwen and was released on July 21, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm