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qwen3-235b-a22b-instruct-2507 Cost Calculator - Novita

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

Pricing data last updated:

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

Mode: Chat

Max: 131,072 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.00009000
Output Cost$0.00058000
Total Cost$0.00067000

Pricing Details

Input: $0.0000000900 per token
Output: $0.0000005800 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens131,072
Max Output Tokens16,384
Max Tokens16,384

About qwen3-235b-a22b-instruct-2507

qwen3-235b-a22b-instruct-2507 is a chat model from Novita, one of 80 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.58 per 1M output tokens, ranking 225 out of 2168 chat models by cost and cheaper than 89% of models in this category. qwen3-235b-a22b-instruct-2507 supports function calling, structured output. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.09 per 1M tokens
Output Cost$0.58 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens16,384
Maximum Total Tokens16,384

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 16,384 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

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

At $0.09 per 1M input tokens and $0.58 per 1M output tokens, qwen3-235b-a22b-instruct-2507 ranks 225 out of 2168 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 89% of models in this category.

qwen3-235b-a22b-instruct-2507 is one of 80 Novita chat models, with support for function calling, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-235b-a22b-instruct-2507
gpt-4.1-nanoAzure$0.10$0.40+11%
gpt-4.1-nano-2025-04-14Azure$0.10$0.40+11%
eu.amazon.nova-lite-v1:0AWS Bedrock$0.08$0.31-13%

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

Similar chat models from other providers

Azure
gpt-4.1-nano
$0.10/1M input
+11% vs qwen3-235b-a22b-instruct-2507
Azure
gpt-4.1-nano-2025-04-14
$0.10/1M input
+11% vs qwen3-235b-a22b-instruct-2507
AWS Bedrock
eu.amazon.nova-lite-v1:0
$0.08/1M input
-13% vs qwen3-235b-a22b-instruct-2507
FriendliAI
meta-llama-3.1-8b-instruct
$0.10/1M input
+11% vs qwen3-235b-a22b-instruct-2507
Vertex AI
gemini-2.0-flash
$0.10/1M input
+11% vs qwen3-235b-a22b-instruct-2507

Frequently Asked Questions

Is qwen3-235b-a22b-instruct-2507 cheaper than gpt-4.1-nano?

Yes. qwen3-235b-a22b-instruct-2507 costs $0.09 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

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

qwen3-235b-a22b-instruct-2507 input pricing is $0.09 per 1M tokens, which is 84% below the median of $0.55 for chat models. It ranks 225 out of 2168 chat models by input cost, making it cheaper than 89% of models in this category. For output, it costs $0.58 per 1M tokens compared to the median of $1.44.

What makes qwen3-235b-a22b-instruct-2507 different from other Novita models?

Among Novita's 80 chat models, qwen3-235b-a22b-instruct-2507 ranks 22 by input cost.

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

The most comparable chat models to qwen3-235b-a22b-instruct-2507 are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); eu.amazon.nova-lite-v1:0 from AWS Bedrock ($0.08/1M input tokens); meta-llama-3.1-8b-instruct from FriendliAI ($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 do I calculate qwen3-235b-a22b-instruct-2507 costs?

qwen3-235b-a22b-instruct-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 $0.09 and generating 1M output tokens costs $0.58.