GPT-5.6
A next-generation large language model series released by OpenAI, comprising three capability tiers named Sol, Terra, and Luna. The series was made available in preview form via API on June 26, 2024.
Core Facts
GPT-5.5是OpenAI于2025年中期发布的模型，相比GPT-4o在推理深度和上下文理解方面有显著提升
Under the standard framework of ARC Prize, GPT-6 Astra's ARC-AGI-3 score is only 62.7.
The founder stated that GPT-5.5 simply did not have the capability to build this type of operational system, while after upgrading to GPT-5.6, it could be completed with just a five-minute conversation.
Timeline (last 90 days)
In William Liu's experiment, across all 31 test samples, the token counts reported by the seven GPT models were completely identical, all at 44,794.
William Liu compared the tokenization results of multiple GPT models using a set of fixtures, with the experiment covering seven GPT models, including GPT-5.5, three variants of GPT-5.6 (Sol/Terra/Luna), and three variants of GPT-6 (Astra/Sol/Luna).
In GPT-5.6 and later, OpenAI charges 1.25× for cache writes and 0.1× the uncached input rate for cache reads, with a minimum cacheable prefix of 1,024 tokens.
The author previously used GPT-5.6 to create a Minecraft-style game, spending more than 5 hours repeatedly fine-tuning to optimize the frame rate to 60 FPS, with API costs exceeding $350.
GPT-6's error response rate has dropped to 4.1% and its false claim rate to 0.9%, an improvement over GPT-5.6's 6.3% and 1.8% respectively.
Pollo AI integrates three models—GPT-5.6, GPT-6 Astra, and GPT-Image-2.5—handling different stages of creative concepting, image generation, and final video production respectively.
EvoX Agent supports automatic model switching by difficulty level, pairing economy tier with cheaper models such as DeepSeek, balance tier with GPT-5.6 or Kimi K3, and also supports connecting to local models and LM Studio and Ollama.
For Amazon Bedrock, GPT-6 and GPT-5.6 are now routed through inference profiles, and the India regions ap-south-1 and ap-south-2 will correctly resolve profiles with the in. prefix.
Compared to GPT-5.6, the price of OpenAI's new model has dropped by approximately 50%.
GPT-6 Sol achieved 68.8% on the software engineering benchmark DeepSweep, approximately 1.1 percentage points behind top-tier flagship models, with costs reduced by about 80%.
40 more timeline events
All Facts (20)
GPT-5.5是OpenAI于2025年中期发布的模型，相比GPT-4o在推理深度和上下文理解方面有显著提升
90%VerifiedUnder the standard framework of ARC Prize, GPT-6 Astra's ARC-AGI-3 score is only 62.7.
65%VerifiedThe founder stated that GPT-5.5 simply did not have the capability to build this type of operational system, while after upgrading to GPT-5.6, it could be completed with just a five-minute conversation.
65%VerifiedOpenAI previewed an Ultra Fast speed service mode in the API, enabling GPT-5.6 to achieve up to a 14x speed improvement with an output throughput of 750 tokens per second.
75%UnverifiedThe new model simultaneously achieves higher quality and lower cost, breaking the traditional performance-cost trade-off.
70%UnverifiedV4.1-Flash scores 1 point higher than a GPT-5.6-level model in comparison.
60%UnverifiedLlama 3.1 405B's score on MMLU is already close to the level of GPT-4o, and Qwen 2.5 72B has surpassed GPT-4 Turbo on certain metrics in math and code generation benchmarks.
60%UnverifiedGPT-5.6's focus is no longer purely on upgrading model capabilities, but rather on attempting to run complex production-grade workflows directly as an operable system.
60%UnverifiedIn William Liu's experiment, across all 31 test samples, the token counts reported by the seven GPT models were completely identical, all at 44,794.
50%UnverifiedIn GPT-5.6 and later, OpenAI charges 1.25× for cache writes and 0.1× the uncached input rate for cache reads, with a minimum cacheable prefix of 1,024 tokens.
50%UnverifiedThe author previously used GPT-5.6 to create a Minecraft-style game, spending more than 5 hours repeatedly fine-tuning to optimize the frame rate to 60 FPS, with API costs exceeding $350.
50%UnverifiedGPT-6's error response rate has dropped to 4.1% and its false claim rate to 0.9%, an improvement over GPT-5.6's 6.3% and 1.8% respectively.
50%UnverifiedPollo AI integrates three models—GPT-5.6, GPT-6 Astra, and GPT-Image-2.5—handling different stages of creative concepting, image generation, and final video production respectively.
50%UnverifiedEvoX Agent supports automatic model switching by difficulty level, pairing economy tier with cheaper models such as DeepSeek, balance tier with GPT-5.6 or Kimi K3, and also supports connecting to local models and LM Studio and Ollama.
50%UnverifiedFor Amazon Bedrock, GPT-6 and GPT-5.6 are now routed through inference profiles, and the India regions ap-south-1 and ap-south-2 will correctly resolve profiles with the in. prefix.
50%UnverifiedCompared to GPT-5.6, the price of OpenAI's new model has dropped by approximately 50%.
50%UnverifiedGPT-6 Sol achieved 68.8% on the software engineering benchmark DeepSweep, approximately 1.1 percentage points behind top-tier flagship models, with costs reduced by about 80%.
50%UnverifiedDeveloper Flavio Damo stated that tasks that previously typically took about one hour on GPT-5.6 can now frequently be completed in about 20 minutes, with token consumption less than half of what it was before.
50%UnverifiedRingg's AI agent runs on the GPT-5.6 model.
50%UnverifiedRingg claims that using GPT-5.6 can reduce costs by 90% compared to GPT-4.1.
50%