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Favicon for qwen

Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

Model weights
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Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.

Modalities

In / Out Price

55% off

$0.04815 / $0.1931per 1M

Context

262K

Released

Jul 29, 2025

Knowledge Cutoff

Jun 2025

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

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 Exacto (highest tool-calling accuracy).

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.

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).

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

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.

Quick Start

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.

Frequently asked questions

55% off
$0.107$0.04815$0.429$0.1931--1.26s27 tps
99.75%
$0.10$0.30--0.35s38 tps
98.51%
$0.10$0.30$0.100.34s73 tps
99.98%
$0.13$0.52--0.32s45 tps
99.95%
$0.09$0.30--2.79s14 tps
89.47%

Throughput

73tok/s

P50, best across providers

Latency

0.32s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Phala
81.8%--
DekaLLM
63.8%--
StreamLake
64.2%41.3%
SiliconFlow
64.2%39.6%
auto-routing
63.7%39.3%
+4 more providers
Uptime (3d)

100.00%

Availability (3d)

99.97%

Availability over the last 3 days

Last 72 hours
Availability 99.97%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.97%
Without Routing
93.90%

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 customization options.

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