--- title: "qwen3.8-2.4t-a95b - Model Details & Comparison" description: "qwen3.8-2.4t-a95b from Streamlake: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/streamlake/qwen3.8-2.4t-a95b" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/streamlake/qwen3.8-2.4t-a95b.md" --- # qwen3.8-2.4t-a95b - Model Details & Comparison > qwen3.8-2.4t-a95b from Streamlake: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## 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 3126 out of 4042 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 29% among chat models. ## Specifications - **Streamlake Provider.** - **Chat Mode.** - **983,616 Max Input Tokens.** - **128,000 Max Output Tokens.** - **$2.00 / 1M tokens Input Price.** - **$6.00 / 1M tokens Output Price.** ## Capabilities qwen3.8-2.4t-a95b supports: Function Calling, Vision, Reasoning, Prompt Caching. ## qwen3.8-2.4t-a95b Pricing Overview At $2.00 per 1M input tokens and $6.00 per 1M output tokens, qwen3.8-2.4t-a95b ranks 3126 out of 4042 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 29% of chat models. ## Models to Compare Alternatives to qwen3.8-2.4t-a95b with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | anthropic.claude-sonnet-5 | AWS Bedrock | $2.00 | $10.00 | | global.anthropic.claude-sonnet-5 | AWS Bedrock | $2.00 | $10.00 | | us.anthropic.claude-sonnet-5 | AWS Bedrock | $2.20 | $11.00 | | eu.anthropic.claude-sonnet-5 | AWS Bedrock | $2.20 | $11.00 | | au.anthropic.claude-sonnet-5 | AWS Bedrock | $2.20 | $11.00 | ## Related Resources - [Calculate qwen3.8-2.4t-a95b costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/streamlake/model/qwen3.8-2.4t-a95b.md) - [All Streamlake pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/streamlake.md) ## FAQ ### 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 3126 out of 4042 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 29% of chat models by context window size (rank 1165 of 4003). 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. ## Related Resources - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/streamlake/qwen3.8-2.4t-a95b](https://www.getmaxim.ai/bifrost/model-library/compare/streamlake/qwen3.8-2.4t-a95b) for AI/LLM consumption.*