
Qwen: Qwen3 14B
qwen/qwen3-14b
Model weightsQwen3-14B 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 tasks like math, programming, and logical inference, and a "non-thinking" mode for general-purpose conversation. The model is fine-tuned for instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.12 | $0.24 | 1.06s | 49 tok/s | ||
| $0.10 | $0.22 | 0.97s | 37 tok/s |
Input $0.12 / Output $0.2449 tok/s98.86% uptime- Input $0.10 / Output $0.2237 tok/s99.71% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Qwen3 14B — Price history
| $0.0995 | $0.218 | 0.0% | 17.0% | ||
| $0.1195 | $0.239 | 0.0% | 83.0% |
- Effective in $0.0995 / Effective out $0.218Token share17.0%
- Effective in $0.1195 / Effective out $0.239Token share83.0%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Qwen3 14B (Non-reasoning) GPQA Diamond | 47.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) HLE | 4.1% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) IFBench | 23.9% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) τ²-Bench Telecom | 32.2% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) AA-LCR | 0.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) CritPt | 0.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) LiveCodeBench | 28.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) Terminal-Bench Hard | 5.3% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) MMLU-Pro | 67.5% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) AIME 2025 | 58.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) AIME | 28.0% |
| Artificial Analysis | Qwen3 14B (Non-reasoning) MATH-500 | 87.1% |
| Artificial Analysis | Qwen3 14B (Reasoning) Coding Index | 13.8 |
| Artificial Analysis | Qwen3 14B (Reasoning) Agentic Index | 0.9 |
| Artificial Analysis | Qwen3 14B (Reasoning) GPQA Diamond | 60.4% |
| Artificial Analysis | Qwen3 14B (Reasoning) HLE | 4.5% |
| Artificial Analysis | Qwen3 14B (Reasoning) IFBench | 40.5% |
| Artificial Analysis | Qwen3 14B (Reasoning) τ²-Bench Telecom | 34.5% |
| Artificial Analysis | Qwen3 14B (Reasoning) AA-LCR | 0.0% |
| Artificial Analysis | Qwen3 14B (Reasoning) τ-Bench Banking | 5.6% |
| Artificial Analysis | Qwen3 14B (Reasoning) GDPval-AA | 0.0% |
| Artificial Analysis | Qwen3 14B (Reasoning) CritPt | 0.0% |
| Artificial Analysis | Qwen3 14B (Reasoning) LiveCodeBench | 52.3% |
| Artificial Analysis | Qwen3 14B (Reasoning) SciCode | 30.7% |
| Artificial Analysis | Qwen3 14B (Reasoning) Terminal-Bench Hard | 3.8% |
| Artificial Analysis | Qwen3 14B (Reasoning) Terminal-Bench 4.0 | 0.0% |
| Artificial Analysis | Qwen3 14B (Reasoning) Terminal-Bench 2.1 | 4.9% |
| Artificial Analysis | Qwen3 14B (Reasoning) MMLU-Pro | 77.4% |
| Artificial Analysis | Qwen3 14B (Reasoning) AIME 2025 | 55.7% |
| Artificial Analysis | Qwen3 14B (Reasoning) AIME | 76.3% |
| Artificial Analysis | Qwen3 14B (Reasoning) MATH-500 | 96.1% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
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 tasks like math, programming, and logical inference, and a "non-thinking" mode for general-purpose conversation.
Qwen3 14B costs $0.10/M input tokens and $0.22/M output tokens.
Qwen3 14B has a 40,960 token context window. It supports up to 40,960 completion tokens.
Yes. Qwen3 14B accepts tools and tool_choice for function calling on 1 of the 2 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.
Qwen3 14B is served by 2 providers on OpenRouter: NextBit and DeepInfra. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Qwen3 14B was released on April 28, 2025. Its knowledge cutoff is March 31, 2025.