Qwen: Qwen3 14B
Analysis Summary
Qwen3 14B is a mid-sized Qwen model with a 131,072-token context window and listed support for tool use and function calling. Its coding and agentic indices are higher than the smaller Qwen3 8B, giving it a broader operating range for structured technical work. The record does not list vision or multimodal input, so it remains a text-first option.
For Design for Online, it fits SEO briefs, content restructuring, code explanation, metadata generation, and tool-connected workflows with limited autonomy. The context capacity supports substantial briefs and reference material, but the modest intelligence profile means high-stakes strategy, nuanced editorial work, and open-ended agents should be routed to stronger models. Validation remains important when outputs affect live systems.
Pricing of $0.2275 per million input tokens and $0.91 per million output tokens supports volume deployment. Use it as a value-focused technical and SEO specialist.
Assessed August 9, 2026
Editorial notes
Qwen3 14B combines a 131K context, function calling, and low pricing for structured content and coding support; its general reasoning and agentic evidence remain below the requirements of complex autonomous workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 14B combines a 131K context, function calling, and low pricing for structured content and coding support; its general reasoning and agentic evidence remain below the requirements of complex autonomous workflows.
How Qwen: Qwen3 14B compares
Qwen: Qwen3 14B ranks #271 of 432 AI models we track for overall intelligence, #166 of 205 for coding, #159 of 187 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.12 per million input tokens it is cheaper than 64% 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 | $0.12 | $0.000120 |
| Output | $0.24 | $0.000240 |
What would Qwen: Qwen3 14B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 14B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for..
Frequently asked questions about Qwen: Qwen3 14B
How much does Qwen: Qwen3 14B cost?
Qwen: Qwen3 14B costs $0.12 per million input tokens and $0.24 per million output tokens.
What is the context window of Qwen: Qwen3 14B?
Qwen: Qwen3 14B has a context window of 131,072 tokens (131K).
Is Qwen: Qwen3 14B good for coding?
On our coding benchmark index, Qwen: Qwen3 14B ranks #166 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 14B do?
Qwen: Qwen3 14B supports tool use and function calling.
Who created Qwen: Qwen3 14B?
Qwen: Qwen3 14B is developed by Qwen and was released on April 28, 2025.