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deepseek-v4-flash-0731 Cost Calculator - Fireworks AI

Calculate the cost of using deepseek-v4-flash-0731 from Fireworks AI for your AI applications

Pricing data last updated:

deepseek-v4-flash-0731 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00022000
Output Cost$0.00066000
Total Cost$0.00088000

Pricing Details

Input: $0.0000002200 per token
Output: $0.0000006600 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens131,072
Max Tokens131,072

About deepseek-v4-flash-0731

deepseek-v4-flash-0731 is a chat model from Fireworks AI, one of 298 chat models they offer. It is priced at $0.22 per 1M input tokens and $0.66 per 1M output tokens, ranking 1092 out of 3501 chat models by cost and cheaper than 69% of models in this category. deepseek-v4-flash-0731 supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 13% among chat models.

Pricing Information

Input Cost$0.22 per 1M tokens
Output Cost$0.66 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 Tokens131,072
Maximum Total Tokens131,072

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 131,072 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 Pricing Compares

At $0.22 per 1M input tokens and $0.66 per 1M output tokens, deepseek-v4-flash-0731 ranks 1092 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 69% of models in this category.

deepseek-v4-flash-0731 is one of 298 Fireworks AI chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 13% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-flash-0731
gpt-5.4-nanoAzure$0.20$1.25-9%
gpt-5.4-nano-2026-03-17Azure$0.20$1.25-9%
gpt-5-mini-2025-08-07Azure$0.28$2.20+25%

Alternatives to deepseek-v4-flash-0731

Similar chat models from other providers

Azure
gpt-5.4-nano
$0.20/1M input
-9% vs deepseek-v4-flash-0731
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
-9% vs deepseek-v4-flash-0731
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
+25% vs deepseek-v4-flash-0731
Azure
gpt-5-mini
$0.25/1M input
+14% vs deepseek-v4-flash-0731
Azure
gpt-5.6-luna
$0.20/1M input
-9% vs deepseek-v4-flash-0731

Frequently Asked Questions

Is deepseek-v4-flash-0731 cheaper than gpt-5.4-nano?

No. deepseek-v4-flash-0731 costs $0.22 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 9% more affordable for input. However, deepseek-v4-flash-0731 may offer different capabilities or performance characteristics that justify the price difference.

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

deepseek-v4-flash-0731 input pricing is $0.22 per 1M tokens, which is 63% below the median of $0.60 for chat models. It ranks 1092 out of 3501 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.66 per 1M tokens compared to the median of $1.71.

What makes deepseek-v4-flash-0731 different from other Fireworks AI models?

Among Fireworks AI's 298 chat models, deepseek-v4-flash-0731 ranks 145 by input cost.

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

The most comparable chat models to deepseek-v4-flash-0731 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.

How large is deepseek-v4-flash-0731's context window?

deepseek-v4-flash-0731 supports up to 1,048,576 input tokens, placing it in the top 13% of chat models by context window size (rank 218 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Fireworks AI is down?

You can monitor Fireworks AI service health in real time on the Bifrost Fireworks 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-flash-0731 costs?

deepseek-v4-flash-0731 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 $0.22 and generating 1M output tokens costs $0.66.