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deepseek-v4-flash-0731:batch Cost Calculator - OpenRouter

Calculate the cost of using deepseek-v4-flash-0731:batch from OpenRouter for your AI applications

Pricing data last updated:

deepseek-v4-flash-0731:batch Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 943,718 tokens

Cost Breakdown

Input Cost$0.00011000
Output Cost$0.00033000
Total Cost$0.00044000

Pricing Details

Input: $0.0000001100 per token
Output: $0.0000003300 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens943,718
Max Tokens943,718

About deepseek-v4-flash-0731:batch

deepseek-v4-flash-0731:batch is a chat model from OpenRouter, one of 463 chat models they offer. It is priced at $0.11 per 1M input tokens and $0.33 per 1M output tokens, ranking 549 out of 3639 chat models by cost and cheaper than 85% 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 12% among chat models.

Pricing Information

Input Cost$0.11 per 1M tokens
Output Cost$0.33 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens943,718
Maximum Total Tokens943,718

Pro Tip

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How deepseek-v4-flash-0731:batch Pricing Compares

At $0.11 per 1M input tokens and $0.33 per 1M output tokens, deepseek-v4-flash-0731:batch ranks 549 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 85% of models in this category.

deepseek-v4-flash-0731:batch is one of 463 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 12% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-flash-0731:batch
gemini-2.5-flash-liteVertex AI$0.10$0.40-9%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.40-9%
gemini-2.5-flash-lite-preview-06-17Vertex AI$0.10$0.40-9%

Alternatives to deepseek-v4-flash-0731:batch

Similar chat models from other providers

Vertex AI
gemini-2.5-flash-lite
$0.10/1M input
-9% vs deepseek-v4-flash-0731:batch
Vertex AI
gemini-2.5-flash-lite-preview-09-2025
$0.10/1M input
-9% vs deepseek-v4-flash-0731:batch
Vertex AI
gemini-2.5-flash-lite-preview-06-17
$0.10/1M input
-9% vs deepseek-v4-flash-0731:batch
Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
-9% vs deepseek-v4-flash-0731:batch
Google Gemini
gemini-2.5-flash-lite-preview-09-2025
$0.10/1M input
-9% vs deepseek-v4-flash-0731:batch

Frequently Asked Questions

Is deepseek-v4-flash-0731:batch cheaper than gemini-2.5-flash-lite?

No. deepseek-v4-flash-0731:batch costs $0.11 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 9% more affordable for input. However, deepseek-v4-flash-0731:batch may offer different capabilities or performance characteristics that justify the price difference.

How does deepseek-v4-flash-0731:batch pricing compare to the average chat model?

deepseek-v4-flash-0731:batch input pricing is $0.11 per 1M tokens, which is 81% below the median of $0.58 for chat models. It ranks 549 out of 3639 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.33 per 1M tokens compared to the median of $1.66.

What makes deepseek-v4-flash-0731:batch different from other OpenRouter models?

Among OpenRouter's 463 chat models, deepseek-v4-flash-0731:batch ranks 86 by input cost.

What are the best alternatives to deepseek-v4-flash-0731:batch?

The most comparable chat models to deepseek-v4-flash-0731:batch are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-06-17 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($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 large is deepseek-v4-flash-0731:batch's context window?

deepseek-v4-flash-0731:batch supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 313 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate deepseek-v4-flash-0731:batch costs?

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 $0.11 and generating 1M output tokens costs $0.33.