Qwen: Qwen3 14B
Analysis Summary
Qwen3 14B sits between the 8B and 32B variants in the Qwen3 family, with an intelligence index of 16.2, coding index of 13.1, and a math index of 55.7. Tool use and function calling are supported with a 131K context window, priced at $0.10 input and $0.24 output per million tokens. Livecodebench of 0.523 and agentic index of 19.1 are reasonable for its size and price tier.
For businesses, it suits structured content generation, lightweight coding assistance, and tool-assisted workflows where cost efficiency is important. Instruction following (ifbench 0.405) is adequate for routine tasks, and the context window supports moderate document analysis. It is not suited to complex autonomous pipelines or tasks requiring deep reasoning.
The -4 point regional accessibility adjustment applies given the provider's limited enterprise footprint. Within its constraints, Qwen3 14B offers a functional mid-point between the cheapest small models and more capable mid-size alternatives, particularly for teams running high-volume, low-complexity workloads.
Assessed June 6, 2026
Editorial notes
Qwen3 14B offers tool use, a 131K context, and reasonable math and coding performance at very low cost, making it a practical lightweight option for structured tasks on a tight budget.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 14B compares
Qwen: Qwen3 14B ranks #212 of 377 AI models we track for overall intelligence, #209 of 314 for coding, #184 of 289 for agentic tasks. Its 132K-token context window is larger than 60% of the models we list. At $0.10 per million input tokens it is cheaper than 66% of comparable models.
About 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..
Capabilities
Architecture Detail
| Instruct Type | qwen3 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 14B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-14b
|
| Provider | qwen |
| Release Date | April 28, 2025 |
| Context Length | 131,702 tokens |
| Max Completion | 40,960 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.24 | $0.000240 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 14B
How much does Qwen: Qwen3 14B cost?
Qwen: Qwen3 14B costs $0.10 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 131,702 tokens (132K).
Is Qwen: Qwen3 14B good for coding?
On our coding benchmark index, Qwen: Qwen3 14B ranks #209 of 314 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.
