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[ MODEL COMPARISON ]

Compare Qwen3-Coder-480B-A35B-Instruct-FP8 with other models

Select another model to compare pricing, limits, and capabilities with Qwen3-Coder-480B-A35B-Instruct-FP8.

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Tensormesh logoQwen3-Coder-480B-A35B-Instruct-FP8
tensormesh
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Context Length
262K
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Max Output
262K
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Input Cost
$0.45/M
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Output Cost
$1.80/M
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Mode
Chat
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Max Input Tokens
262K
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Provider
Tensormesh
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Tool Choice
Yes
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Response Schema
Yes
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Prompt Caching
Yes
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System Messages
Yes
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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about Qwen3-Coder-480B-A35B-Instruct-FP8?

Overview

  • Qwen3-Coder-480B-A35B-Instruct-FP8 is a chat model provided by Tensormesh.
  • With a context window of 262K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $0.45 per million tokens.
  • Output generation costs $1.80 per million tokens.

Output Capabilities

  • The model can generate up to 262K tokens in a single response.
What capabilities does Qwen3-Coder-480B-A35B-Instruct-FP8 support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.
  • Supports system messages for customizing model behavior and setting operational parameters.

Qwen3-Coder-480B-A35B-Instruct-FP8 Pricing Overview

At $0.45 per 1M input tokens and $1.80 per 1M output tokens, Qwen3-Coder-480B-A35B-Instruct-FP8 ranks 1066 out of 2258 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 53% of models in this category.