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qwen3.8-2.4t-a95b Cost Calculator - Streamlake

Calculate the cost of using qwen3.8-2.4t-a95b from Streamlake for your AI applications

Pricing data last updated:

qwen3.8-2.4t-a95b Cost Calculator

Mode: Chat

Max: 983,616 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.002000
Output Cost$0.006000
Total Cost$0.008000

Pricing Details

Input: $0.00000200 per token
Output: $0.00000600 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens983,616
Max Output Tokens128,000

About qwen3.8-2.4t-a95b

qwen3.8-2.4t-a95b is a chat model from Streamlake, one of 26 chat models they offer. It is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, ranking 3124 out of 4040 chat models by cost and cheaper than 20% of models in this category. qwen3.8-2.4t-a95b supports vision, function calling, reasoning, prompt caching. Its 984K-token context window is in the top 30% among chat models.

Pricing Information

Input Cost$2.00 per 1M tokens
Output Cost$6.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens983,616
Maximum Output Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 983,616 input tokens. The maximum output length is 128,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts

How qwen3.8-2.4t-a95b Pricing Compares

At $2.00 per 1M input tokens and $6.00 per 1M output tokens, qwen3.8-2.4t-a95b ranks 3124 out of 4040 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 20% of models in this category.

qwen3.8-2.4t-a95b is one of 26 Streamlake chat models, with support for vision, function calling, reasoning, prompt caching. its 984K-token context window places it in the top 30% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.8-2.4t-a95b
anthropic.claude-sonnet-5AWS Bedrock$2.00$10.000%
global.anthropic.claude-sonnet-5AWS Bedrock$2.00$10.000%
us.anthropic.claude-sonnet-5AWS Bedrock$2.20$11.00+10%

Alternatives to qwen3.8-2.4t-a95b

Similar chat models from other providers

AWS Bedrock
anthropic.claude-sonnet-5
$2.00/1M input
0% vs qwen3.8-2.4t-a95b
AWS Bedrock
global.anthropic.claude-sonnet-5
$2.00/1M input
0% vs qwen3.8-2.4t-a95b
AWS Bedrock
us.anthropic.claude-sonnet-5
$2.20/1M input
+10% vs qwen3.8-2.4t-a95b
AWS Bedrock
eu.anthropic.claude-sonnet-5
$2.20/1M input
+10% vs qwen3.8-2.4t-a95b
AWS Bedrock
au.anthropic.claude-sonnet-5
$2.20/1M input
+10% vs qwen3.8-2.4t-a95b

Frequently Asked Questions

Is qwen3.8-2.4t-a95b cheaper than anthropic.claude-sonnet-5?

No. qwen3.8-2.4t-a95b costs $2.00 per 1M input tokens while anthropic.claude-sonnet-5 costs $2.00 per 1M input tokens, making anthropic.claude-sonnet-5 0% more affordable for input. However, qwen3.8-2.4t-a95b may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3.8-2.4t-a95b pricing compare to the average chat model?

qwen3.8-2.4t-a95b input pricing is $2.00 per 1M tokens, which is 233% above the median of $0.60 for chat models. It ranks 3124 out of 4040 chat models by input cost, making it cheaper than 20% of models in this category. For output, it costs $6.00 per 1M tokens compared to the median of $1.80.

What makes qwen3.8-2.4t-a95b different from other Streamlake models?

Among Streamlake's 26 chat models, qwen3.8-2.4t-a95b ranks 26 by input cost.

What are the best alternatives to qwen3.8-2.4t-a95b?

The most comparable chat models to qwen3.8-2.4t-a95b are: anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); global.anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); us.anthropic.claude-sonnet-5 from AWS Bedrock ($2.20/1M input tokens); eu.anthropic.claude-sonnet-5 from AWS Bedrock ($2.20/1M 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 qwen3.8-2.4t-a95b's context window?

qwen3.8-2.4t-a95b supports up to 983,616 input tokens, placing it in the top 30% of chat models by context window size (rank 1118 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3.8-2.4t-a95b costs?

qwen3.8-2.4t-a95b 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 $2.00 and generating 1M output tokens costs $6.00.