Calculate the cost of using qwen3-235b-a22b-instruct-2507-maas from Vertex AI for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 16,384 tokens
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qwen3-235b-a22b-instruct-2507-maas is a chat model from Vertex AI, one of 112 chat models they offer. It is priced at $0.22 per 1M input tokens and $0.88 per 1M output tokens, ranking 839 out of 2661 chat models by cost and cheaper than 68% of models in this category. qwen3-235b-a22b-instruct-2507-maas supports function calling. Its 262K-token context window is in the top 29% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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 16,384 tokens.
At $0.22 per 1M input tokens and $0.88 per 1M output tokens, qwen3-235b-a22b-instruct-2507-maas ranks 839 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 68% of models in this category.
qwen3-235b-a22b-instruct-2507-maas is one of 112 Vertex AI chat models, with support for function calling. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-235b-a22b-instruct-2507-maas |
|---|---|---|---|---|
| anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +14% |
| apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +14% |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | -9% |
Similar chat models from other providers
Yes. qwen3-235b-a22b-instruct-2507-maas costs $0.22 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 14% more affordable. Both are chat models and share support for vision, function calling, structured output.
qwen3-235b-a22b-instruct-2507-maas input pricing is $0.22 per 1M tokens, which is 56% below the median of $0.50 for chat models. It ranks 839 out of 2661 chat models by input cost, making it cheaper than 68% of models in this category. For output, it costs $0.88 per 1M tokens compared to the median of $1.44.
Among Vertex AI's 112 chat models, qwen3-235b-a22b-instruct-2507-maas ranks 26 by input cost.
The most comparable chat models to qwen3-235b-a22b-instruct-2507-maas are: anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M 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.
qwen3-235b-a22b-instruct-2507-maas supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 588 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3-235b-a22b-instruct-2507-maas 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 $0.22 and generating 1M output tokens costs $0.88.