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qwen3-235b-a22b-thinking-2507 Cost Calculator - OpenRouter

Calculate the cost of using qwen3-235b-a22b-thinking-2507 from OpenRouter for your AI applications

Pricing data last updated:

qwen3-235b-a22b-thinking-2507 Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00010000
Total Cost$0.00020000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000001000 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens262,144
Max Tokens262,144

About qwen3-235b-a22b-thinking-2507

qwen3-235b-a22b-thinking-2507 is a chat model from OpenRouter, one of 351 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.10 per 1M output tokens, ranking 263 out of 2292 chat models by cost and cheaper than 85% of models in this category. qwen3-235b-a22b-thinking-2507 supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 25% among chat models.

Pricing Information

Input Cost$0.10 per 1M tokens
Output Cost$0.10 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens262,144
Maximum Total Tokens262,144

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How qwen3-235b-a22b-thinking-2507 Pricing Compares

At $0.10 per 1M input tokens and $0.10 per 1M output tokens, qwen3-235b-a22b-thinking-2507 ranks 263 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 85% of models in this category.

qwen3-235b-a22b-thinking-2507 is one of 351 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 25% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-235b-a22b-thinking-2507
gemini-2.5-flash-liteVertex AI$0.10$0.400%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.400%
gemini-2.5-flash-lite-preview-06-17Vertex AI$0.10$0.400%

Alternatives to qwen3-235b-a22b-thinking-2507

Similar chat models from other providers

Vertex AI
gemini-2.5-flash-lite
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Vertex AI
gemini-2.5-flash-lite-preview-09-2025
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Vertex AI
gemini-2.5-flash-lite-preview-06-17
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Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
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Google Gemini
gemini-2.5-flash-lite-preview-09-2025
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Frequently Asked Questions

Is qwen3-235b-a22b-thinking-2507 cheaper than gemini-2.5-flash-lite?

No. qwen3-235b-a22b-thinking-2507 costs $0.10 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 0% more affordable for input. However, qwen3-235b-a22b-thinking-2507 may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3-235b-a22b-thinking-2507 pricing compare to the average chat model?

qwen3-235b-a22b-thinking-2507 input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 263 out of 2292 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.10 per 1M tokens compared to the median of $1.50.

What makes qwen3-235b-a22b-thinking-2507 different from other OpenRouter models?

Among OpenRouter's 351 chat models, qwen3-235b-a22b-thinking-2507 ranks 63 by input cost.

What are the best alternatives to qwen3-235b-a22b-thinking-2507?

The most comparable chat models to qwen3-235b-a22b-thinking-2507 are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-06-17 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How large is qwen3-235b-a22b-thinking-2507's context window?

qwen3-235b-a22b-thinking-2507 supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 460 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate qwen3-235b-a22b-thinking-2507 costs?

qwen3-235b-a22b-thinking-2507 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.10 and generating 1M output tokens costs $0.10.