Calculate the cost of using deepseek-v4-flash-0731:batch from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 943,718 tokens
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deepseek-v4-flash-0731:batch is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, ranking 589 out of 3254 chat models by cost and cheaper than 82% of models in this category. deepseek-v4-flash-0731:batch supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 10% 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 1,048,576 input tokens. The maximum output length is 943,718 tokens.
At $0.14 per 1M input tokens and $0.28 per 1M output tokens, deepseek-v4-flash-0731:batch ranks 589 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 82% of models in this category.
deepseek-v4-flash-0731:batch is one of 441 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 10% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs deepseek-v4-flash-0731:batch |
|---|---|---|---|---|
| GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 | +7% |
| GLM-5.3-Flash | Together AI | $0.15 | $0.50 | +7% |
| DeepSeek-V4-Flash | Tensormesh | $0.14 | $0.28 | 0% |
Similar chat models from other providers
Yes. deepseek-v4-flash-0731:batch costs $0.14 per 1M input tokens compared to GLM-5.3-Flash's $0.15 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
deepseek-v4-flash-0731:batch input pricing is $0.14 per 1M tokens, which is 73% below the median of $0.52 for chat models. It ranks 589 out of 3254 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 441 chat models, deepseek-v4-flash-0731:batch ranks 92 by input cost.
The most comparable chat models to deepseek-v4-flash-0731:batch are: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); DeepSeek-V4-Flash from Tensormesh ($0.14/1M input tokens); gemma-4-31B-it from Tensormesh ($0.14/1M 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.
deepseek-v4-flash-0731:batch supports up to 1,048,576 input tokens, placing it in the top 10% of chat models by context window size (rank 232 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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deepseek-v4-flash-0731: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 $0.14 and generating 1M output tokens costs $0.28.