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qwen3-8-omni-flash Cost Calculator - Empiriolabs

Calculate the cost of using qwen3-8-omni-flash from Empiriolabs for your AI applications

Pricing data last updated:

qwen3-8-omni-flash Cost Calculator

Mode: Chat

Max: 1,006,592 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00030000
Output Cost$0.00094000
Total Cost$0.001240

Pricing Details

Input: $0.0000003000 per token
Output: $0.0000009400 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning
✓Web Search
✓Audio Input

Limits

Max Input Tokens1,006,592
Max Output Tokens131,072

About qwen3-8-omni-flash

qwen3-8-omni-flash is a chat model from Empiriolabs, one of 92 chat models they offer. It is priced at $0.30 per 1M input tokens and $0.94 per 1M output tokens, ranking 1580 out of 4195 chat models by cost and cheaper than 61% of models in this category. qwen3-8-omni-flash supports vision, function calling, reasoning, audio input, web search, structured output — one of only 4 chat models with this combination. Its 1,007K-token context window is in the top 18% among chat models.

Pricing Information

Input Cost$0.30 per 1M tokens
Output Cost$0.94 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,006,592
Maximum Output Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,006,592 input tokens. The maximum output length is 131,072 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Audio Input - Accept audio data as input
✓Advanced Reasoning - Complex problem-solving capabilities
✓Web Search - Access real-time web information
✓System Messages - Configure model behavior
✓Response Schema - Structured output formatting

How qwen3-8-omni-flash Pricing Compares

At $0.30 per 1M input tokens and $0.94 per 1M output tokens, qwen3-8-omni-flash ranks 1580 out of 4195 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 61% of models in this category.

qwen3-8-omni-flash is one of 92 Empiriolabs chat models, one of only 4 chat models combining audio input, function calling, reasoning, structured output, vision, web search. its 1,007K-token context window places it in the top 18% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-8-omni-flash
gemini-3.1-flash-lite-previewGoogle Gemini$0.25$1.50-17%
gemini-2.5-flashGoogle Gemini$0.30$2.500%
gemini-flash-lite-latestGoogle Gemini$0.30$2.500%

Alternatives to qwen3-8-omni-flash

Similar chat models from other providers

Google Gemini
gemini-3.1-flash-lite-preview
$0.25/1M input
-17% vs qwen3-8-omni-flash
Google Gemini
gemini-2.5-flash
$0.30/1M input
0% vs qwen3-8-omni-flash
Google Gemini
gemini-flash-lite-latest
$0.30/1M input
0% vs qwen3-8-omni-flash
Google Gemini
gemini-3.1-flash-lite
$0.25/1M input
-17% vs qwen3-8-omni-flash
Google Gemini
gemini-3.5-flash-lite
$0.30/1M input
0% vs qwen3-8-omni-flash

Frequently Asked Questions

Is qwen3-8-omni-flash cheaper than gemini-3.1-flash-lite-preview?

No. qwen3-8-omni-flash costs $0.30 per 1M input tokens while gemini-3.1-flash-lite-preview costs $0.25 per 1M input tokens, making gemini-3.1-flash-lite-preview 17% more affordable for input. However, qwen3-8-omni-flash may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3-8-omni-flash pricing compare to the average chat model?

qwen3-8-omni-flash input pricing is $0.30 per 1M tokens, which is 50% below the median of $0.60 for chat models. It ranks 1580 out of 4195 chat models by input cost, making it cheaper than 61% of models in this category. For output, it costs $0.94 per 1M tokens compared to the median of $1.88.

What makes qwen3-8-omni-flash different from other Empiriolabs models?

Among Empiriolabs's 92 chat models, qwen3-8-omni-flash ranks 38 by input cost. Its combination of audio input, function calling, reasoning, structured output, vision, web search is shared by only 3 other chat models.

What are the best alternatives to qwen3-8-omni-flash?

The most comparable chat models to qwen3-8-omni-flash are: gemini-3.1-flash-lite-preview from Google Gemini ($0.25/1M input tokens); gemini-2.5-flash from Google Gemini ($0.30/1M input tokens); gemini-flash-lite-latest from Google Gemini ($0.30/1M input tokens); gemini-3.1-flash-lite from Google Gemini ($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 qwen3-8-omni-flash's context window?

qwen3-8-omni-flash supports up to 1,006,592 input tokens, placing it in the top 18% of chat models by context window size (rank 706 of 3925). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3-8-omni-flash costs?

qwen3-8-omni-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 $0.94.