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Qwen/Qwen3 235B A22B Instruct 2507

Qwen/Qwen3 235B A22B Instruct 2507 is available via DeepInfra with a 262K context window and up to 262,144 output tokens. Pricing: $0.0900/1M input tokens, $0.6000/1M output tokens.

Qwen/Qwen3 235B A22B Instruct 2507 Pricing & Specifications

Input Price$0.090 per 1M tokens
Output Price$0.60 per 1M tokens
Context Window262,144 tokens (262K)
Max Output262,144 tokens
ProviderDeepInfra

What is Qwen/Qwen3 235B A22B Instruct 2507?

Qwen/Qwen3 235B A22B Instruct 2507 is a large language model by DeepInfra with a 262K context window and up to 262,144 output tokens. It costs $0.090 per 1M input tokens and $0.60 per 1M output tokens. Qwen/Qwen3 235B A22B Instruct 2507 is available via DeepInfra with a 262K context window and up to 262,144 output tokens. Pricing: $0.0900/1M input tokens, $0.6000/1M output tokens.

Capabilities

text function calling

Qwen/Qwen3 235B A22B Instruct 2507 Cost Examples

Short prompt (500 tokens)

$0.000045

Medium prompt (2K tokens)

$0.00018

Long output (4K tokens)

$0.00240

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Frequently Asked Questions

How much does Qwen/Qwen3 235B A22B Instruct 2507 cost per token? +
Qwen/Qwen3 235B A22B Instruct 2507 costs $0.090 per 1M input tokens and $0.60 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000390.
What is the context window for Qwen/Qwen3 235B A22B Instruct 2507? +
Qwen/Qwen3 235B A22B Instruct 2507 supports a context window of 262,144 tokens (262K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Qwen/Qwen3 235B A22B Instruct 2507? +
Qwen/Qwen3 235B A22B Instruct 2507 can generate up to 262,144 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Qwen/Qwen3 235B A22B Instruct 2507 good for coding tasks? +
Yes, Qwen/Qwen3 235B A22B Instruct 2507 supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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