Try Bifrost Enterprise free for 14 days.
Request access

qwen3-coder-next Cost Calculator - Novita

Calculate the cost of using qwen3-coder-next from Novita for your AI applications

Pricing data last updated:

qwen3-coder-next Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.001500
Total Cost$0.001700

Pricing Details

Input: $0.0000002000 per token
Output: $0.00000150 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens262,144
Max Output Tokens65,536
Max Tokens65,536

About qwen3-coder-next

qwen3-coder-next is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.20 per 1M input tokens and $1.50 per 1M output tokens, ranking 946 out of 3254 chat models by cost and cheaper than 70% of models in this category. qwen3-coder-next supports function calling, structured output. Its 262K-token context window is in the top 37% among chat models.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$1.50 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 Tokens65,536
Maximum Total Tokens65,536

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 65,536 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How qwen3-coder-next Pricing Compares

At $0.20 per 1M input tokens and $1.50 per 1M output tokens, qwen3-coder-next ranks 946 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 70% of models in this category.

qwen3-coder-next is one of 130 Novita chat models, with support for function calling, structured output. its 262K-token context window places it in the top 37% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-coder-next
anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.25+25%
apac.anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.25+25%
gpt-5.4-nanoAzure$0.20$1.250%

Alternatives to qwen3-coder-next

Similar chat models from other providers

AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs qwen3-coder-next
AWS Bedrock
apac.anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs qwen3-coder-next
Azure
gpt-5.4-nano
$0.20/1M input
0% vs qwen3-coder-next
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
0% vs qwen3-coder-next
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
-17% vs qwen3-coder-next

Frequently Asked Questions

Is qwen3-coder-next cheaper than anthropic.claude-3-haiku-20240307-v1:0?

Yes. qwen3-coder-next costs $0.20 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, structured output.

How does qwen3-coder-next pricing compare to the average chat model?

qwen3-coder-next input pricing is $0.20 per 1M tokens, which is 61% below the median of $0.52 for chat models. It ranks 946 out of 3254 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.50.

What makes qwen3-coder-next different from other Novita models?

Among Novita's 130 chat models, qwen3-coder-next ranks 51 by input cost.

What are the best alternatives to qwen3-coder-next?

The most comparable chat models to qwen3-coder-next 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.

How do I calculate qwen3-coder-next costs?

qwen3-coder-next 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 $0.20 and generating 1M output tokens costs $1.50.