
Qwen: Qwen3 235B A22B Instruct 2507
qwen/qwen3-235b-a22b-2507
Model weightsQwen3-235B-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.
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).
| $0.14 | $0.80 | $0.05 | 0.38s | 42 tok/s | ||
| $0.09 | $0.55 | -- | 0.35s | 26 tok/s | ||
| $0.20 | $0.60 | $0.05 | 0.48s | 46 tok/s | ||
| $0.15 | $0.75 | -- | 0.48s | 28 tok/s |
- Input $0.14 / Output $0.8042 tok/s100.00% uptime
Input $0.09 / Output $0.5526 tok/s98.94% uptime- Input $0.20 / Output $0.6046 tok/s90.57% uptime
- Input $0.15 / Output $0.7528 tok/s99.78% uptime
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
Qwen3 235B A22B Instruct 2507 — Price history
| $0.0832 | $0.593 | 77.7% | 33.0% | ||
| $0.0887 | $0.794 | 56.7% | 29.1% | ||
| $0.0896 | $0.548 | 0.0% | 32.1% | ||
| $0.1493 | $0.731 | 38.9% | 5.8% |
- Effective in $0.0832 / Effective out $0.593Token share33.0%
- Effective in $0.0887 / Effective out $0.794Token share29.1%
- Effective in $0.0896 / Effective out $0.548Token share32.1%
- Effective in $0.1493 / Effective out $0.731Token share5.8%
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).
P50, best across providers
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct GPQA Diamond | 75.3% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct HLE | 11.1% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct IFBench | 46.1% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct τ²-Bench Telecom | 33.3% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct AA-LCR | 33.9% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct CritPt | 0.0% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct LiveCodeBench | 52.4% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct Terminal-Bench Hard | 15.2% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct MMLU-Pro | 82.8% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct AIME 2025 | 71.7% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct AIME | 71.7% |
| Artificial Analysis | Qwen3 235B A22B 2507 Instruct MATH-500 | 98.0% |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena 3D Elo | 974 |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena Code Categories Elo | 1028 |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena Data Visualization Elo | 1067 |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena Game Development Elo | 941 |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena UI Component Elo | 955 |
| Design Arena | Qwen3-235B-A22B-Instruct-2507 Models Arena Website Elo | 1050 |
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.
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
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.
Qwen3 235B A22B Instruct 2507 costs $0.09/M input tokens and $0.55/M output tokens.
Qwen3 235B A22B Instruct 2507 has a 262,144 token context window. It supports up to 16,384 completion tokens.
Yes. Qwen3 235B A22B Instruct 2507 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Qwen3 235B A22B Instruct 2507 is served by 4 providers on OpenRouter: DeepInfra, Parasail, Venice, and Nebius Token Factory. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Qwen3 235B A22B Instruct 2507 was released on July 21, 2025. Its knowledge cutoff is June 30, 2025.