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纯官方高速GPT3.5系列,支持tools_call。

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纯官方高速GPT3.5系列,支持tools_call。

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纯官方高速GPT3.5系列,支持function_call。

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纯官方GPT4系列,0613系列模型支持function_call。

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GPT-4.1

OpenAI

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

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$2 / M input tokensOpenRouter · openai/gpt-4.1
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GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

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$1 / M input tokensOpenRouter · openai/gpt-4.1:batch
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GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

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$0.4 / M input tokensOpenRouter · openai/gpt-4.1-mini
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GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

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$0.2 / M input tokensOpenRouter · openai/gpt-4.1-mini:batch
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For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

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$0.1 / M input tokensOpenRouter · openai/gpt-4.1-nano
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For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

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$0.05 / M input tokensOpenRouter · openai/gpt-4.1-nano:batch
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The latest gpt-4-1106-preview, also known as gpt-4-turbo, is 67% cheaper than gpt-4, supports 128k context, supports tools, and has a knowledge cut-off date of April 2023.

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gpt-4-32k

OpenAI

纯官方GPT4 32K系列,支持更大的上下文窗口,适用于复杂的对话场景。将于 2025-06-06 废弃,建议使用 gpt-4o

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Adjust monthly token usage to compare estimated API costs.

1 M = 1 million tokens · USD
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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