Compare Claude Opus 4.8 from Anthropic and inclusionAI/Ring-1T from InclusionAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Opus 4.8
inclusionAI/Ring-1TClaude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it
Ring-1T is an open-source idea model with a trillion parameters released by the Bailing team. It is based on the Ling 2.0 architecture and the Ling-1T-base foundational model for training, with a total parameter count of 1 trillion, an active parameter count of 50 billion, and supports up to a 128K context window. The model is trained via large-scale verifiable reward reinforcement learning (RLVR), combined with the self-developed Icepop reinforcement learning stabilization method and the efficient ASystem reinforcement learning system, significantly improving the model’s deep reasoning and natural language reasoning capabilities. Ring-1T achieves leading performance among open-source models on high-difficulty reasoning benchmarks such as mathematics competitions (e.g., IMO 2025), code generation (e.g., ICPC World Finals 2025), and logical reasoning.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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inclusionAI/Ring-1T: $2.192/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; inclusionAI/Ring-1T accepts text input and supports thinking, tool calling, function calling and structured outputs.
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