Qwen: Qwen3 14B
Analysis Summary
Qwen: Qwen3 14B is developed by Qwen. It was released in April 2025. On our leaderboard it earns Efficient-tier status, ranking #201 of 571 models in our overall business-suitability ranking. For raw reasoning ability it ranks #210 of 374, putting it in the broader field for overall intelligence.
On coding it ranks #206 of 311, a reasonable fit for everyday development support. It also ranks #179 of 286 for agentic, multi-step tasks ā the autonomous, tool-driven workflows that underpin business automation. Its 132K-token context window is larger than 60% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Qwen: Qwen3 14B combines tool use, function calling, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.100 input and $0.240 output per 1M tokens, Qwen: Qwen3 14B is aggressively priced for high-volume use which makes it easy to justify for cost-sensitive, high-throughput deployments. Qwen: Qwen3 14B suits cost-sensitive or high-volume deployments where efficiency matters more than topping the benchmarks.
Editorial notes
Qwen3 14B offers improved reasoning and coding over the 8B variant with tool use and function calling at very low cost, though performance remains well below frontier models.
Assessed May 31, 2026
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 #210 of 374 AI models we track for overall intelligence, #206 of 311 for coding, #179 of 286 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 efficient 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 #206 of 311 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.
