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DeepSeek-V4.1-Flash Cost Calculator - Together AI

Calculate the cost of using DeepSeek-V4.1-Flash from Together AI for your AI applications

Pricing data last updated:

DeepSeek-V4.1-Flash Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Cost Breakdown

Input Cost$0.00030000
Output Cost$0.001200
Total Cost$0.001500

Pricing Details

Input: $0.0000003000 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens1,048,576
Max Tokens1,048,576

About DeepSeek-V4.1-Flash

DeepSeek-V4.1-Flash is a chat model from Together AI, one of 97 chat models they offer. It is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens, ranking 1357 out of 3639 chat models by cost and cheaper than 61% of models in this category. DeepSeek-V4.1-Flash supports function calling, prompt caching, structured output. Its 1,049K-token context window is in the top 12% among chat models.

Pricing Information

Input Cost$0.30 per 1M tokens
Output Cost$1.20 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 Total Tokens1,048,576

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How DeepSeek-V4.1-Flash Pricing Compares

At $0.30 per 1M input tokens and $1.20 per 1M output tokens, DeepSeek-V4.1-Flash ranks 1357 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 61% of models in this category.

DeepSeek-V4.1-Flash is one of 97 Together AI chat models, with support for function calling, 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-V4.1-Flash
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.500%
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+10%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+10%

Alternatives to DeepSeek-V4.1-Flash

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
0% vs DeepSeek-V4.1-Flash
AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs DeepSeek-V4.1-Flash
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs DeepSeek-V4.1-Flash
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs DeepSeek-V4.1-Flash
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
-8% vs DeepSeek-V4.1-Flash

Frequently Asked Questions

Is DeepSeek-V4.1-Flash cheaper than amazon.nova-2-lite-v1:0?

No. DeepSeek-V4.1-Flash costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, DeepSeek-V4.1-Flash may offer different capabilities or performance characteristics that justify the price difference.

How does DeepSeek-V4.1-Flash pricing compare to the average chat model?

DeepSeek-V4.1-Flash input pricing is $0.30 per 1M tokens, which is 48% below the median of $0.58 for chat models. It ranks 1357 out of 3639 chat models by input cost, making it cheaper than 61% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.66.

What makes DeepSeek-V4.1-Flash different from other Together AI models?

Among Together AI's 97 chat models, DeepSeek-V4.1-Flash ranks 38 by input cost.

What are the best alternatives to DeepSeek-V4.1-Flash?

The most comparable chat models to DeepSeek-V4.1-Flash are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M 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-V4.1-Flash's context window?

DeepSeek-V4.1-Flash supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 210 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Together AI is down?

You can monitor Together AI service health in real time on the Bifrost Together AI 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-V4.1-Flash costs?

DeepSeek-V4.1-Flash 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 $0.30 and generating 1M output tokens costs $1.20.