Qwen: Qwen3 14B
Analysis Summary
Qwen3 14B is a text model with a 131K context window and support for tool use and function calling. Its measured intelligence and coding indices remain limited, and the supplied data does not include detailed reasoning, instruction-following, or coding-task results beyond those indices. The listed pricing is low, which is its clearest business advantage.
It can be considered for economical text processing or simple tool-connected workflows where the task is well defined and a human or automated check catches errors. The long context may help with larger documents, but context capacity alone does not establish dependable analysis quality. There is no vision support listed, so it is not suitable for workflows that require image understanding. Treat it as a budget-tier option for lower-risk requests, and benchmark it on actual client prompts before using it for customer-facing or consequential tasks.
Assessed September 23, 2026
Editorial notes
Qwen3 14B provides a 131K context window, tool and function calling, and low listed prices, making it a budget option for bounded text workflows rather than demanding reasoning tasks.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3 14B provides a 131K context window, tool and function calling, and low listed prices, making it a budget option for bounded text workflows rather than demanding reasoning tasks.
Benchmarks
Artificial Analysis data refreshed Nov 9, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Qwen: Qwen3 14B compares
Qwen: Qwen3 14B ranks #337 of 449 AI models we track for overall intelligence, #160 of 199 for coding, #159 of 181 for agentic tasks. Its 41K-token context window is larger than 26% of the models we list. At $0.12 per million input tokens it is cheaper than 59% 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.
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?
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 735 models → Price Calculator
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 40,960 tokens (41K).
Is Qwen: Qwen3 14B good for coding?
On our coding benchmark index, Qwen: Qwen3 14B ranks #160 of 199 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.