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Favicon for qwen

Qwen: Qwen3 235B A22B Thinking 2507

Going away August 24, 2026

qwen/qwen3-235b-a22b-thinking-2507

Model weights
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Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tokens of context. This "thinking-only" variant enhances structured logical reasoning, mathematics, science, and long-form generation, showing strong benchmark performance across AIME, SuperGPQA, LiveCodeBench, and MMLU-Redux. It enforces a special reasoning mode (</think>) and is designed for high-token outputs (up to 81,920 tokens) in challenging domains.

The model is instruction-tuned and excels at step-by-step reasoning, tool use, agentic workflows, and multilingual tasks. This release represents the most capable open-source variant in the Qwen3-235B series, surpassing many closed models in structured reasoning use cases.

Modalities

In / Out Price

$0.23 / $2.30per 1M

Context

262K

Released

Jul 25, 2025

Knowledge Cutoff

Jun 2025

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Frequently asked questions

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.

$0.23$2.30$0.200.74s42 tps
99.95%
$0.23$2.30--0.80s57 tps
99.96%
$0.30$3.00--1.63s25 tps
99.45%
$0.45$3.50--0.88s42 tps
99.93%

Throughput

57tok/s

P50, best across providers

Latency

0.74s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
DeepInfra
81.4%--
Alibaba Cloud Int.
79.2%63.1%
auto-routing
77.1%61.4%
Venice
74.8%63.6%
NovitaAI
70.2%59.5%
Uptime (3d)

100.00%

Availability (3d)

99.66%

Availability over the last 3 days

Last 72 hours
Availability 99.66%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.92%
Without Routing
99.41%

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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