{ "name": "First-party model limits reference", "description": "What each lab publishes on its own documentation for a model's context window and maximum output tokens. One page read per model. Nothing is inferred and nothing is reconciled between labs. A row with confirmable=false can rule a catalogue's figure out but can never confirm one; weak_reason says why. 'rounded_string' means the lab publishes only something like '128k' and no exact integer anywhere. 'published_range' means the lab publishes two figures, a native one and a larger one it says the model can be extended to, so any value between them is a fair serving choice. 'weights_only_card_silent' means the only figure I could find is max_position_embeddings in the weights and the model card says nothing about context at all: the integer is first-party and real, but a silent card is not a statement that the weights are the limit, so the row cannot contradict a catalogue until somebody has read that lab's own documentation site. 'card_disagrees_with_weights' means the card names a smaller figure than the weights carry, so the lab's two artifacts do not agree and neither can arbitrate on its own.", "generated": "2026-10-06", "counts": { "models": 370, "labs": 17, "with_both_figures": 108, "not_confirmable": 197 }, "labs": { "Google": { "convention": "Exact integers. Google's 1M context window is 1,048,576, which is 2^20, not one million.", "source": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/" }, "Anthropic": { "convention": "K and M, and they mean decimal. 200K is 200,000 and 1M is 1,000,000.", "source": "platform.claude.com/docs/en/models/" }, "OpenAI": { "convention": "Exact integers that follow neither the decimal nor the binary rule. gpt-4.1 publishes 1,047,576, which is 2^20 minus 1,000 and is correct as published.", "source": "platform.openai.com/docs/models.md" }, "xAI": { "convention": "K and M meaning decimal, as Anthropic does. No maximum output figure is published for any model.", "source": "docs.x.ai/docs/models.md" }, "Zhipu": { "convention": "BINARY. Settled by two first-party artifacts: the chat-completion schema caps max_tokens at 131072 in a field described as '128K maximum output', and GLM-4.5's weights declare max_position_embeddings 131072 against a documented 128K. This table asserted the opposite from 5 to 7 September 2026. Note that the rounding goes UP: 202752 is 198K and Zhipu prints '200K'. Some rows under this lab come from the weights instead, read from config.json under the lab's own Hugging Face organisation; those are exact integers and the row names the repository it came from.", "source": "docs.z.ai/guides/llm/" }, "Qwen": { "convention": "Exact integers, and they come from the weights rather than from documentation. Every Qwen row here is max_position_embeddings read from the model's config.json in the Qwen organisation on Hugging Face, with the repository named on each row. That is a ceiling and not an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one. The closed, API-only Qwen models have no weights to read and are listed separately under Alibaba (Qwen), from Alibaba's own documentation; no model appears under both.", "source": "huggingface.co/Qwen/" }, "MiniMax": { "convention": "Exact integers read from the weights, not from documentation. Every row here is max_position_embeddings in the model's own config.json under the MiniMaxAI organisation on Hugging Face, and the repository is named on each row so the mapping can be checked. It is a ceiling rather than an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one.", "source": "huggingface.co/MiniMaxAI/" }, "inclusionAI": { "convention": "Exact integers read from the weights, not from documentation. Every row here is max_position_embeddings in the model's own config.json under the inclusionAI organisation on Hugging Face, and the repository is named on each row so the mapping can be checked. It is a ceiling rather than an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one.", "source": "huggingface.co/inclusionAI/" }, "Tencent": { "convention": "Exact integers read from the weights, not from documentation. Every row here is max_position_embeddings in the model's own config.json under the tencent organisation on Hugging Face, and the repository is named on each row so the mapping can be checked. It is a ceiling rather than an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one.", "source": "huggingface.co/tencent/" }, "Baidu": { "convention": "Exact integers read from the weights, not from documentation. Every row here is max_position_embeddings in the model's own config.json under the baidu organisation on Hugging Face, and the repository is named on each row so the mapping can be checked. It is a ceiling rather than an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one.", "source": "huggingface.co/baidu/" }, "NousResearch": { "convention": "Exact integers read from the weights, not from documentation. Every row here is max_position_embeddings in the model's own config.json under the NousResearch organisation on Hugging Face, and the repository is named on each row so the mapping can be checked. It is a ceiling rather than an instruction: a host serving a shorter context has made a serving choice, so these rows can refute a larger figure and never a smaller one. No maximum output is published, because an open-weight model does not have one. Nous Research fine-tunes other labs' base models rather than pretraining its own, so these are first-party figures for the Hermes weights and say nothing about the base model.", "source": "huggingface.co/NousResearch/" }, "Moonshot": { "convention": "Exact integers on the pricing pages: kimi-k3 is 1,048,576. Elsewhere on the same site the same model is described as '1M tokens', and a note about billing says 1M means 1,000,000, so take the integer and not the words. No maximum output figure is published for any model. Some rows under this lab come from the weights instead, read from config.json under the lab's own Hugging Face organisation; those are exact integers and the row names the repository it came from.", "source": "https://platform.kimi.ai/docs/pricing/chat.md" }, "Mistral": { "convention": "Rounded strings only on the documentation pages: 32k, 128k, 256k, 1M. Those pages publish no exact integer anywhere, so a documentation row here can rule a figure out but cannot confirm one. Only 2 of 65 model pages give a maximum output. They do publish a licence, a status, a retirement date and a named replacement. Some rows under this lab come from the weights instead, read from config.json under the lab's own Hugging Face organisation; those are exact integers and the row names the repository it came from.", "source": "docs.mistral.ai/models/" }, "DeepSeek": { "convention": "Rounded strings only, and one row shared by the whole family: 1M context and a maximum output of 384K. The API reference gives no number at all and points back to that page. 1M is either 1,000,000 or 1,048,576 and nothing published decides which.", "source": "api-docs.deepseek.com/quick_start/pricing/" }, "NVIDIA": { "convention": "\"Up to 1M tokens\" in the summary table, and 1048576 written out in the lab's own serving command further down the same card, so NVIDIA's M is binary. The context figure here is that validated integer, never `max_position_embeddings`: the weights carry 262,144 for the three largest models and the cards give an explicit recipe above them, so the weights are a floor rather than a ceiling. The cards also name a smaller default (256K on a single H100), which is what most hosts serve and is not an error by anybody.", "source": "huggingface.co/nvidia/" }, "Alibaba (Qwen)": { "convention": "Rounded strings only: 1M, 256k, 128k, 32k, 16k, 8k, and one model at 10M. The page says outright that the exact numbers are in the console, which needs an account, so these rows can rule a catalogue figure out and can never confirm one. Only the closed, API-only Qwen models are here: Alibaba is the publisher for those and there is no other source for them anywhere. The open-weights Qwen models on the same page are left out, because for those Alibaba is a platform and its figure is what it serves rather than what the model can do. The page is published in Chinese and in English and the two versions do not always agree; 18 models are dropped entirely for that reason, including two where one version says 128k and the other 1M. The open-weights Qwen models are listed separately under Qwen, read from their model cards; no model appears under both.", "source": "help.aliyun.com/zh/model-studio/models" }, "Amazon": { "convention": "Rounded strings only, on Amazon's own Bedrock model cards, so these rows can rule a catalogue figure out and can never confirm one. The K is binary and the cards show it: Nova Lite, Micro and Pro all print \"5K\" where the Bedrock routes serve 5,120, and Nova 2 Lite prints \"64K\" where they serve 65,535. Only the 15 Amazon-owned models are here. The other 112 cards on the same site are other labs' models hosted on Bedrock, where AWS is a platform rather than the publisher, and its figure is what it serves rather than what the lab claims.", "source": "docs.aws.amazon.com/bedrock/latest/userguide/model-cards.md" } }, "models": [ { "lab": "Alibaba (Qwen)", "model": "qvq-max", "context": null, "max_output": null, "as_published": { "context": "128k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-flash", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-flash-character", "context": null, "max_output": null, "as_published": { "context": "8k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-long", "context": null, "max_output": null, "as_published": { "context": "10M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-long-2025-01-25", "context": null, "max_output": null, "as_published": { "context": "10M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-long-latest", "context": null, "max_output": null, "as_published": { "context": "10M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-mt-flash", "context": null, "max_output": null, "as_published": { "context": "16k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-mt-lite", "context": null, "max_output": null, "as_published": { "context": "16k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-mt-plus", "context": null, "max_output": null, "as_published": { "context": "16k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-mt-turbo", "context": null, "max_output": null, "as_published": { "context": "16k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-omni-turbo", "context": null, "max_output": null, "as_published": { "context": "32k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-plus", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-plus-character", "context": null, "max_output": null, "as_published": { "context": "32k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen-plus-character-ja", "context": null, "max_output": null, "as_published": { "context": "32k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-coder-flash", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-coder-flash-2025-07-28", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-coder-plus", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-coder-plus-2025-07-22", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-coder-plus-2025-09-23", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-max", "context": null, "max_output": null, "as_published": { "context": "256k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-max-2025-09-23", "context": null, "max_output": null, "as_published": { "context": "256k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-max-2026-01-23", "context": null, "max_output": null, "as_published": { "context": "256k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3-max-preview", "context": null, "max_output": null, "as_published": { "context": "256k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.5-flash", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.5-flash-2026-02-23", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": false, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.5-plus", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.5-plus-2026-02-15", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": false, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.6-flash", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.6-flash-2026-04-16", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.6-max-preview", "context": null, "max_output": null, "as_published": { "context": "256k", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.6-plus", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.6-plus-2026-04-02", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": false, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-flash", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-flash-2026-07-15", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": false, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-max", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-max-2026-05-17", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-max-2026-05-20", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": false, "weak_reason": "rounded_string", "open_weights": false, "both_renderings_agree": true, "source": "https://help.aliyun.com/zh/model-studio/text-generation-model", "fetched": "2026-10-05" }, { "lab": "Alibaba (Qwen)", "model": "qwen3.7-max-2026-06-08", "context": null, "max_output": null, "as_published": { "context": "1M", "max_output": null }, "confirmable": 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