Calculate the cost of using Qwen2.5-Coder-32B-Instruct from Nscale for your AI applications
Pricing data last updated:
Mode: Chat
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Qwen2.5-Coder-32B-Instruct is a chat model from Nscale, one of 14 chat models they offer. It is priced at $0.06 per 1M input tokens and $0.20 per 1M output tokens, ranking 137 out of 2172 chat models by cost and cheaper than 93% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.06 per 1M input tokens and $0.20 per 1M output tokens, Qwen2.5-Coder-32B-Instruct ranks 137 out of 2172 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 93% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen2.5-Coder-32B-Instruct |
|---|---|---|---|---|
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 | 0% |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 | +5% |
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | -8% |
Similar chat models from other providers
No. Qwen2.5-Coder-32B-Instruct costs $0.06 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 0% more affordable for input. However, Qwen2.5-Coder-32B-Instruct may offer different capabilities or performance characteristics that justify the price difference.
Qwen2.5-Coder-32B-Instruct input pricing is $0.06 per 1M tokens, which is 89% below the median of $0.55 for chat models. It ranks 137 out of 2172 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.48.
Among Nscale's 14 chat models, Qwen2.5-Coder-32B-Instruct ranks 5 by input cost.
The most comparable chat models to Qwen2.5-Coder-32B-Instruct are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M 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.
Qwen2.5-Coder-32B-Instruct 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 $0.06 and generating 1M output tokens costs $0.20.
