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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 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.

Modalities
In / out price
$0.10 / $0.22per 1M
Context
41K
Released
Apr 28, 2025
Knowledge cutoff
Mar 2025

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).

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

Input
$0.1158/M tokens
Output
$0.2364/M tokens
Price history
No effective price data for this selection

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).

Throughput
49tok/s

P50, best across providers

Latency
0.97s

P50, best provider

AutoExacto benchmarks
GPQA DiamondNextBit60.0%

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.

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.96%

Availability over the last 3 days

Last 72 hours
Availability 99.96%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%
Without Routing
99.91%

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.

Benchmark score summary for Qwen: Qwen3 14B (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisQwen3 14B (Non-reasoning) GPQA Diamond47.0%
Artificial AnalysisQwen3 14B (Non-reasoning) HLE4.1%
Artificial AnalysisQwen3 14B (Non-reasoning) IFBench23.9%
Artificial AnalysisQwen3 14B (Non-reasoning) τ²-Bench Telecom32.2%
Artificial AnalysisQwen3 14B (Non-reasoning) AA-LCR0.0%
Artificial AnalysisQwen3 14B (Non-reasoning) CritPt0.0%
Artificial AnalysisQwen3 14B (Non-reasoning) LiveCodeBench28.0%
Artificial AnalysisQwen3 14B (Non-reasoning) Terminal-Bench Hard5.3%
Artificial AnalysisQwen3 14B (Non-reasoning) MMLU-Pro67.5%
Artificial AnalysisQwen3 14B (Non-reasoning) AIME 202558.0%
Artificial AnalysisQwen3 14B (Non-reasoning) AIME28.0%
Artificial AnalysisQwen3 14B (Non-reasoning) MATH-50087.1%
Artificial AnalysisQwen3 14B (Reasoning) Coding Index13.8
Artificial AnalysisQwen3 14B (Reasoning) Agentic Index0.9
Artificial AnalysisQwen3 14B (Reasoning) GPQA Diamond60.4%
Artificial AnalysisQwen3 14B (Reasoning) HLE4.5%
Artificial AnalysisQwen3 14B (Reasoning) IFBench40.5%
Artificial AnalysisQwen3 14B (Reasoning) τ²-Bench Telecom34.5%
Artificial AnalysisQwen3 14B (Reasoning) AA-LCR0.0%
Artificial AnalysisQwen3 14B (Reasoning) τ-Bench Banking5.6%
Artificial AnalysisQwen3 14B (Reasoning) GDPval-AA0.0%
Artificial AnalysisQwen3 14B (Reasoning) CritPt0.0%
Artificial AnalysisQwen3 14B (Reasoning) LiveCodeBench52.3%
Artificial AnalysisQwen3 14B (Reasoning) SciCode30.7%
Artificial AnalysisQwen3 14B (Reasoning) Terminal-Bench Hard3.8%
Artificial AnalysisQwen3 14B (Reasoning) Terminal-Bench 4.00.0%
Artificial AnalysisQwen3 14B (Reasoning) Terminal-Bench 2.14.9%
Artificial AnalysisQwen3 14B (Reasoning) MMLU-Pro77.4%
Artificial AnalysisQwen3 14B (Reasoning) AIME 202555.7%
Artificial AnalysisQwen3 14B (Reasoning) AIME76.3%
Artificial AnalysisQwen3 14B (Reasoning) MATH-50096.1%

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.

1.
207Mtokens
2.
50Mtokens
3.
43.9Mtokens
4.
40.1Mtokens
5.
Favicon for https://omp.sh/
omp
new
35.4Mtokens
Rest of OpenRouter
1.02B
Top 5 Apps
3.89M

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

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