Qwen: Qwen3 14B
Analysis Summary
Qwen3 14B sits in the middle of the Qwen3 family, offering noticeably stronger coding and reasoning than the 8B variant. Its coding index of 13.8 and livecodebench score of 0.523 indicate genuine coding capability for a model at this price point. Tool use and function calling are both supported, and instruction-following metrics are reasonable.
For businesses, the 14B is a practical choice for code assistance, structured data extraction, and moderate-complexity content tasks. It handles a 128K context window and its math index of 55.7 suggests it can manage quantitative reasoning tasks that would trip up smaller models. Agentic performance remains limited, so it is not suited for fully autonomous workflows.
Priced at $0.10 input and $0.24 output per million tokens, it offers good value for teams needing more than a small model can provide without committing to the cost of a frontier model. It is a sensible mid-tier option for development teams running code review, documentation, or structured generation pipelines.
Assessed June 30, 2026
Editorial notes
Qwen3 14B offers a meaningful step up in coding and instruction following over the 8B, with tool use and function calling, at competitive pricing for a mid-size model.
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 #223 of 385 AI models we track for overall intelligence, #109 of 139 for coding, #187 of 293 for agentic tasks. Its 132K-token context window is larger than 59% of the models we list. At $0.10 per million input tokens it is cheaper than 67% 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 #109 of 139 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.
