Favicon for qwen

Qwen: Qwen3 235B A22B Thinking 2507

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

Model weights

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
$0.45 / $3.50per 1M
Context
128K
Released
Jul 25, 2025
Knowledge cutoff
Jun 2025

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

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
$0.4499/M tokens
Output
$3.50/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
36tok/s

P50, best across providers

Latency
0.75s

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.

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.
99.88%

Availability over the last 3 days

Last 72 hours
Availability 99.88%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.96%

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 235B A22B Thinking 2507 (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) Coding Index22.1
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) Agentic Index1.3
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) GPQA Diamond79.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) HLE15.9%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) IFBench51.2%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) τ²-Bench Telecom53.2%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) AA-LCR72.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) τ-Bench Banking7.8%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) GDPval-AA0.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) CritPt0.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) LiveCodeBench78.8%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) SciCode41.4%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) Terminal-Bench Hard13.6%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) Terminal-Bench 4.00.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) Terminal-Bench 2.112.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) MMLU-Pro84.3%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) AIME 202591.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) AIME94.0%
Artificial AnalysisQwen3 235B A22B 2507 (Reasoning) MATH-50098.4%
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena 3D Elo977
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena Code Categories Elo1022
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena Data Visualization Elo950
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena Game Development Elo946
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena UI Component Elo935
Design ArenaQwen3-235B-A22B-Thinking-2507 Models Arena Website Elo1044

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.
Favicon for https://nousresearch.com
Hermes Agent
160Mtokens
2.
Favicon for https://pi.dev/
pi
61.9Mtokens
3.
Favicon for https://openclaw.ai/
OpenClaw
61.5Mtokens
Rest of OpenRouter
13.7M
Top 5 Apps
462K

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

Explore more models