Qwen3 235B A22B Instruct 2507 Pricing
FastQwen · 262K tokens context
Qwen3 235B A22B Instruct 2507 from Qwen costs $0.090 per 1 million input tokens and $0.100 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 262,144-token context window (approximately 196,608 words) with a 16K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0009.
| Input price | $0.090 / 1M tokens |
|---|---|
| Output price | $0.100 / 1M tokens |
| Output / input ratio | 1.1× |
| Context window | 262,144 tokens (~196,608 words) |
| Maximum output | 16,384 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
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,...
Input Price
$0.090
per 1 million tokens
Output Price
$0.100
per 1 million tokens
Context Window
262K tokens
max 16K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00012 | $0.00004 |
| 10-page document (2,500 words) | 3,333 | $0.0003 | $0.0001 |
| 1,000 lines of code | 5,000 | $0.00045 | $0.00015 |
| 100K token document | 100,000 | $0.009 | $0.003 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.090/1M input tokens
- ✓Large 262K-token context window
- ✓Low latency for high-throughput workloads
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Qwen3 235B A22B Instruct 2507 Costs
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