Calculate the cost of using qwen3.7-plus:batch from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 131,072 tokens
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qwen3.7-plus:batch is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $0.23 per 1M input tokens and $0.92 per 1M output tokens, ranking 1199 out of 3778 chat models by cost and cheaper than 68% of models in this category. qwen3.7-plus:batch supports vision, function calling, reasoning, structured output. Its 262K-token context window is in the top 45% 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 131,072 tokens.
At $0.23 per 1M input tokens and $0.92 per 1M output tokens, qwen3.7-plus:batch ranks 1199 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 68% of models in this category.
qwen3.7-plus:batch is one of 502 OpenRouter chat models, with support for vision, function calling, reasoning, structured output. its 262K-token context window places it in the top 45% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.7-plus:batch |
|---|---|---|---|---|
| gpt-5.4-nano | Azure | $0.20 | $1.25 | -13% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | -13% |
| gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | +20% |
Similar chat models from other providers
No. qwen3.7-plus:batch costs $0.23 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 13% more affordable for input. However, qwen3.7-plus:batch may offer different capabilities or performance characteristics that justify the price difference.
qwen3.7-plus:batch input pricing is $0.23 per 1M tokens, which is 62% below the median of $0.60 for chat models. It ranks 1199 out of 3778 chat models by input cost, making it cheaper than 68% of models in this category. For output, it costs $0.92 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 502 chat models, qwen3.7-plus:batch ranks 147 by input cost.
The most comparable chat models to qwen3.7-plus:batch are: 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); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M 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.
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qwen3.7-plus:batch 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 $0.23 and generating 1M output tokens costs $0.92.