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Favicon for qwen

Qwen: Qwen3 235B A22B Instruct 2507

qwen/qwen3-235b-a22b-2507

Model weights
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Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks).

Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.

Modalities

In / Out Price

$0.09 / $0.55per 1M

Context

262K

Released

Jul 21, 2025

Knowledge Cutoff

Jun 2025

Compare

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.

$0.09$0.58--0.68s24 tps
98.21%
$0.14$0.80$0.050.53s28 tps
99.64%
$0.1495$0.598--0.45s43 tps
99.94%
$0.20$0.60--0.54s38 tps
94.95%
$0.20$0.88$0.201.21s29 tps
99.77%
40% off
$0.35$0.21$1.40$0.84--0.75s38 tps
99.76%
$0.22$0.88--0.85s27 tps
99.87%
$0.25$1.00--0.73s29 tps
98.85%
$0.09$0.55--0.38s15 tps
97.23%
$0.15$0.75--0.63s13 tps
95.36%

Throughput

43tok/s

P50, best across providers

Latency

0.38s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Google Vertex
72.2%--
Friendli
71.8%--
Crusoe
76.7%47.9%
StreamLake
74.6%49.0%
Nebius Token Factory
74.6%48.1%
Google Vertex
73.1%46.4%
+8 more providers
Uptime (3d)

100.00%

Availability (3d)

99.57%

Availability over the last 3 days

Last 72 hours
Availability 99.57%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.45%
Without Routing
94.45%

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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