{"slug": "gpt-nano", "name": "GPT nano", "category": "ai-models", "category_name": "AI models", "description": "", "recommenders": 4, "commenters": 18, "warners": 2, "score": 4.855, "rising": -1.31, "first": "2025-11-08", "latest": "2026-09-26", "why": "Consider gpt-5.4-nano which supports structured output just fine.", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 4, "neutral": 9, "compare": 3, "warn": 2}, "spark": [0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "Consider gpt-5.4-nano which supports structured output just fine.", "kind": "", "icon": false, "family": "gpt", "domain": "openai.com", "github_repo": null, "official_url": "", "pricing": "", "aliases": ["GPT-5.4 nano", "GPT-5 nano", "GPT nano", "GPT-5.4 Nano", "GPT-5-nano"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 769584224, "item_id": 48099014, "url": "https://news.ycombinator.com/item?id=48099014", "by": "OutOfHere", "date": "2026-05-11", "version": "5.4", "stance": "recommend", "quote": "Consider gpt-5.4-nano which supports structured output just fine.", "excerpt": "> Smaller models really arent great at structured output. That is a straight-up lie. Consider gpt-5.4-nano which supports structured output just fine. https://developers.openai.com/api/docs/models/gpt-5.4-nano It seems like a concern that's orthogonal to the model size.", "context": "", "use_case": "Structured output", "switched_from": "", "story": null}, {"id": 765821793, "item_id": 47863862, "url": "https://news.ycombinator.com/item?id=47863862", "by": "jbellis", "date": "2026-04-22", "version": "5.4", "stance": "recommend", "quote": "So we switched to GPT 5.4 nano.", "excerpt": "Flash 2 isn't even at EOL until June but we started seeing ~90% error rates getting 429s over the weekend. (So we switched to GPT 5.4 nano.)", "context": "", "use_case": "", "switched_from": "", "story": "Our eighth generation TPUs: two chips for the agentic era"}, {"id": 758707713, "item_id": 47419232, "url": "https://news.ycombinator.com/item?id=47419232", "by": "XCSme", "date": "2026-03-17", "version": "5.4", "stance": "recommend", "quote": "Nano does better than Mini", "excerpt": "It's odd, that on many benchmarks, including mine[0], Nano does better than Mini. 5.4 mini seems to struggle with consistency, and even with temperature 0 sometimes gives the correct response, sometimes a wrong one... [0]: https://aibenchy.com/compare/openai-gpt-5-4-medium/openai-gpt-5-4-mini-medium/openai-gpt-5-4-nano-medium/openai-gpt-5-mini-medium/", "context": "", "use_case": "", "switched_from": "", "story": "GPT\u20115.4 Mini and Nano"}, {"id": 749079505, "item_id": 46817469, "url": "https://news.ycombinator.com/item?id=46817469", "by": "tgtweak", "date": "2026-01-29", "version": "5", "stance": "recommend", "quote": "5.0-nano has been great for fast (and cheap) quick requests", "excerpt": "5.2 is back to being a sycophantic hallucinating mess for most use cases - I've anecdotally caught it out on many of the sessions I've had where it apologizes \"You're absolutely right... that used to be the case but as of the latest version as you pointed out, it no longer is.\" when it never existed in the first place. It's just not good. On the other hand - 5.0-nano has been great for fast (and cheap) quick requests", "context": "", "use_case": "fast cheap quick requests", "switched_from": "", "story": "Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 758673361, "item_id": 47417085, "url": "https://news.ycombinator.com/item?id=47417085", "by": "powera", "date": "2026-03-17", "version": "5.4", "stance": "warn", "quote": "GPT-5.4-nano is less impressive", "excerpt": "So far on my (simple) benchmarks, GPT-5.4-mini is looking very good. GPT-5.4-mini is about 30% faster than GPT-5-mini. GPT-5.4-mini gets 80% on the \"how many Rs in Strawberry\" test, and nearly perfect scores on everything else I threw at it. GPT-5.4-nano is less impressive. I would stick to gpt-5.4-mini where precise data is a requirement. But it is fast, and probably cheaper and better quality than an 8-20B paramete", "context": "", "use_case": "", "switched_from": "", "story": "GPT\u20115.4 Mini and Nano"}, {"id": 733788064, "item_id": 45861754, "url": "https://news.ycombinator.com/item?id=45861754", "by": "vessenes", "date": "2025-11-08", "version": "5", "stance": "warn", "quote": "gpt-5-nano and -mini are still very slow for me on API", "excerpt": "Looks like a leak: https://platform.openai.com/docs/models does not list it, and codex-mini-latest says that it's based on 4o. I wonder if it will be faster than codex; gpt-5-nano and -mini are still very slow for me on API, surprisingly so.", "context": "", "use_case": "", "switched_from": "", "story": "GPT-5-Codex-Mini \u2013 A more compact and cost-efficient version of GPT-5-Codex"}]}], "who": [], "tags": [], "use_cases": ["message translation", "structured output", "cheap document query subagents", "topic extraction and summaries", "fast cheap quick requests"], "compared": [{"slug": "gpt-5", "name": "GPT-5", "co": 5, "switched_from": 0, "switched_to": 0}, {"slug": "opencode-zen", "name": "OpenCode Zen", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=49536114", "title": "Six curl CVEs after OpenAI and Anthropic came back with zero", "mentions": 3}, {"url": "https://news.ycombinator.com/item?id=47415441", "title": "GPT\u20115.4 Mini and Nano", "mentions": 2}, {"url": "https://news.ycombinator.com/item?id=49853175", "title": "A single function Jev-like wrapper for LLMs, including vision models", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49750694", "title": "Inside ZCode: Silently uploading your Git history to the cloud", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49446422", "title": "Z.ai confirms Ox Alpha is a new GLM-series model and will release its weights", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=49112867", "title": "Advancing the price-performance frontier with GPT\u20115.6", "mentions": 1}], "sentiment_by_month": {"2025-11": {"warn": 1, "neutral": 1}, "2025-12": {}, "2026-01": {"recommend": 1}, "2026-02": {}, "2026-03": {"warn": 1, "recommend": 1}, "2026-04": {"neutral": 2, "recommend": 1}, "2026-05": {"neutral": 1, "recommend": 1}, "2026-06": {"neutral": 2}, "2026-07": {"compare": 1}, "2026-08": {"compare": 1}, "2026-09": {"neutral": 3, "compare": 1}, "2026-10": {}}, "versions": [{"v": "5.4", "people": 9, "rec": 3, "warn": 1, "other": 5, "first": "2026-03-17"}, {"v": "5", "people": 7, "rec": 1, "warn": 1, "other": 5, "first": "2025-11-08"}], "version_unnamed": 2, "family_ref": {"slug": "gpt", "name": "GPT"}, "runs_on": null, "lines": [], "quotes": [{"id": 797674113, "item_id": 49854632, "url": "https://news.ycombinator.com/item?id=49854632", "by": "jampekka", "date": "2026-09-26", "version": "5", "stance": "compare", "quote": "GPT-5 nano is not much more expensive at $0.05.", "excerpt": "You can get Gemma 4 26B A4B at the exact same token input price of $0.042/M. GPT-5 nano is not much more expensive at $0.05. https://openrouter.ai/google/gemma-4-26b-a4b-it", "context": "", "use_case": "", "switched_from": "", "story": "A single function Jev-like wrapper for LLMs, including vision models"}, {"id": 796063889, "item_id": 49753993, "url": "https://news.ycombinator.com/item?id=49753993", "by": "esafak", "date": "2026-09-18", "version": "5", "stance": "neutral", "quote": "It uses gpt-5-nano through OpenCode Zen to generate the title", "excerpt": "It uses gpt-5-nano through OpenCode Zen to generate the title unless you override `small_model`. https://opencode.ai/docs/providers/#self-hosted-gitlab", "context": "", "use_case": "", "switched_from": "", "story": "Inside ZCode: Silently uploading your Git history to the cloud"}, {"id": 792650689, "item_id": 49540668, "url": "https://news.ycombinator.com/item?id=49540668", "by": "grumpy-swe-9000", "date": "2026-09-02", "version": "5.4", "stance": "neutral", "quote": "", "excerpt": "I am pretty sure that the nano-analyzer is just a limited open source demo of their \"System over Model\" thesis from https://aisle.com/blog/system-over-model-zero-day-discovery-at-the-jagged-frontier, not the main product.", "context": "", "use_case": "", "switched_from": "", "story": "Six curl CVEs after OpenAI and Anthropic came back with zero"}, {"id": 792611504, "item_id": 49538219, "url": "https://news.ycombinator.com/item?id=49538219", "by": "vorticalbox", "date": "2026-09-02", "version": "5.4", "stance": "neutral", "quote": "Default to gpt 5.4 nano", "excerpt": "Default to gpt 5.4 nano https://github.com/weareaisle/nano-analyzer/blob/main/scan.py#L43", "context": "", "use_case": "", "switched_from": "", "story": "Six curl CVEs after OpenAI and Anthropic came back with zero"}, {"id": 792611200, "item_id": 49538200, "url": "https://news.ycombinator.com/item?id=49538200", "by": "vorticalbox", "date": "2026-09-02", "version": "5.4", "stance": "neutral", "quote": "It defaults to gpt5.4 nano", "excerpt": "It defaults to gpt5.4 nano https://github.com/weareaisle/nano-analyzer/blob/main/scan.py#L43", "context": "", "use_case": "", "switched_from": "", "story": "Six curl CVEs after OpenAI and Anthropic came back with zero"}, {"id": 791148880, "item_id": 49446805, "url": "https://news.ycombinator.com/item?id=49446805", "by": "WithinReason", "date": "2026-08-26", "version": "5.4", "stance": "compare", "quote": "performing below even GPT-5.4 Nano", "excerpt": "Mixed signals, here it's performing below even GPT-5.4 Nano: https://livebench.ai/ while here it outperforms Fable by a significant margin: https://oxalpha.com/ but if the latter is true, will people still say it was \"distilled\" from Fable?", "context": "", "use_case": "", "switched_from": "", "story": "Z.ai confirms Ox Alpha is a new GLM-series model and will release its weights"}, {"id": 785962114, "item_id": 49122632, "url": "https://news.ycombinator.com/item?id=49122632", "by": "rldjbpin", "date": "2026-07-31", "version": "5.4", "stance": "compare", "quote": "5.4-nano, which is the only model of its class which is now finally comparable to 5.6-luna in pricing", "excerpt": "let's not forget the forest for the trees. the new pricing is more aligned with their previous generation of similar models. case in point 5.4-nano, which is the only model of its class which is now finally comparable to 5.6-luna in pricing. [1] until this change, workflows using the older model could not economically justify the old luna pricing. the doubling in price between 5.4 and 5.5 also did not help with thing", "context": "", "use_case": "", "switched_from": "", "story": "Advancing the price-performance frontier with GPT\u20115.6"}, {"id": 776669056, "item_id": 48541816, "url": "https://news.ycombinator.com/item?id=48541816", "by": "simianwords", "date": "2026-06-15", "version": null, "stance": "neutral", "quote": "If they want a smaller model they nerf all domains together like in GPT nano.", "excerpt": "Wrote about it here https://simianwords.bearblog.dev/why-domain-specific-llms-wont-exist-an-intuition/ In short: there\u2019s a reason OpenAI doesn\u2019t have health care model, chemistry model, mathematics model etc. If they want a smaller model they nerf all domains together like in GPT nano. Why? It\u2019s because intelligence compounds and if you take away capability of mathematics from a model, you remove capabilities in all ", "context": "", "use_case": "", "switched_from": "", "story": "India, UAE partner on AI sovereignty to bypass Google, Microsoft"}, {"id": 775551680, "item_id": 48471980, "url": "https://news.ycombinator.com/item?id=48471980", "by": "paool", "date": "2026-06-09", "version": "5", "stance": "neutral", "quote": "it would use gpt5 nano to translate", "excerpt": "I have a telegram bot, and I used to have it read message in a group chat to detect the language, and if it wasn't English, it would use gpt5 nano to translate. To save on inference, I had Claude create a lightweight typescript library to handle translations and detection. Now I get the previous functionality for 200mb~ ram versus paid API credits. I also built a home assistant menu bar in osx, let's me easily monito", "context": "", "use_case": "message translation", "switched_from": "", "story": "Ask HN: What are tools you have made for yourself since the advent of AI"}, {"id": 769584224, "item_id": 48099014, "url": "https://news.ycombinator.com/item?id=48099014", "by": "OutOfHere", "date": "2026-05-11", "version": "5.4", "stance": "recommend", "quote": "Consider gpt-5.4-nano which supports structured output just fine.", "excerpt": "> Smaller models really arent great at structured output. That is a straight-up lie. Consider gpt-5.4-nano which supports structured output just fine. https://developers.openai.com/api/docs/models/gpt-5.4-nano It seems like a concern that's orthogonal to the model size.", "context": "", "use_case": "Structured output", "switched_from": "", "story": null}, {"id": 768113586, "item_id": 48007099, "url": "https://news.ycombinator.com/item?id=48007099", "by": "ttoinou", "date": "2026-05-04", "version": "5", "stance": "neutral", "quote": "uses the free opencode/gpt-5-nano model", "excerpt": "When you send your first message and opencode generates a title automatically, it uses the free opencode/gpt-5-nano model from the OpenCode Zen provider at https://opencode.ai/zen/v1 Ask AI to look at the code for you We don't have any proof they're not logging everything, by default we should assume they are", "context": "", "use_case": "", "switched_from": "", "story": "DeepClaude \u2013 Claude Code agent loop with DeepSeek V4 Pro, 17x cheaper"}, {"id": 765821793, "item_id": 47863862, "url": "https://news.ycombinator.com/item?id=47863862", "by": "jbellis", "date": "2026-04-22", "version": "5.4", "stance": "recommend", "quote": "So we switched to GPT 5.4 nano.", "excerpt": "Flash 2 isn't even at EOL until June but we started seeing ~90% error rates getting 429s over the weekend. (So we switched to GPT 5.4 nano.)", "context": "", "use_case": "", "switched_from": "", "story": "Our eighth generation TPUs: two chips for the agentic era"}, {"id": 763922786, "item_id": 47745174, "url": "https://news.ycombinator.com/item?id=47745174", "by": "sasipi247", "date": "2026-04-12", "version": "5.4", "stance": "neutral", "quote": "10 documents on warm sockets on GPT 5.4 nano", "excerpt": "I am working on a system built around the OpenAI Responses API WebSocket mode as performance is something that interests me. Its like a microservices architecture with NATS JetStream coordinating stuff. I want to keep the worker core as clean as possible, just managing open sockets, threads and continuation. Document querying is something I am interested in also. This system allows me to pin a document to a socket as", "context": "", "use_case": "Cheap document query subagents", "switched_from": "", "story": "Ask HN: What Are You Working On? (April 2026)"}, {"id": 762028610, "item_id": 47626788, "url": "https://news.ycombinator.com/item?id=47626788", "by": "dchuk", "date": "2026-04-03", "version": null, "stance": "neutral", "quote": "wired up to gpt nano for topic extraction and summary creation per post", "excerpt": "Very clean site, well done. I\u2019ve built something similar, but it also has an algorithmic front page option as well based on the \u201cstandard\u201d algorithm from Reddit/HN: https://engineered.at I also have it wired up to gpt nano for topic extraction and summary creation per post, if you register for an account (free) you can also follow sources and topics to fine tune things. I have a big list of features to continue addin", "context": "", "use_case": "Topic extraction and summaries", "switched_from": "", "story": "Show HN: I built a frontpage for personal blogs"}, {"id": 758707713, "item_id": 47419232, "url": "https://news.ycombinator.com/item?id=47419232", "by": "XCSme", "date": "2026-03-17", "version": "5.4", "stance": "recommend", "quote": "Nano does better than Mini", "excerpt": "It's odd, that on many benchmarks, including mine[0], Nano does better than Mini. 5.4 mini seems to struggle with consistency, and even with temperature 0 sometimes gives the correct response, sometimes a wrong one... [0]: https://aibenchy.com/compare/openai-gpt-5-4-medium/openai-gpt-5-4-mini-medium/openai-gpt-5-4-nano-medium/openai-gpt-5-mini-medium/", "context": "", "use_case": "", "switched_from": "", "story": "GPT\u20115.4 Mini and Nano"}, {"id": 758673361, "item_id": 47417085, "url": "https://news.ycombinator.com/item?id=47417085", "by": "powera", "date": "2026-03-17", "version": "5.4", "stance": "warn", "quote": "GPT-5.4-nano is less impressive", "excerpt": "So far on my (simple) benchmarks, GPT-5.4-mini is looking very good. GPT-5.4-mini is about 30% faster than GPT-5-mini. GPT-5.4-mini gets 80% on the \"how many Rs in Strawberry\" test, and nearly perfect scores on everything else I threw at it. GPT-5.4-nano is less impressive. I would stick to gpt-5.4-mini where precise data is a requirement. But it is fast, and probably cheaper and better quality than an 8-20B paramete", "context": "", "use_case": "", "switched_from": "", "story": "GPT\u20115.4 Mini and Nano"}, {"id": 749079505, "item_id": 46817469, "url": "https://news.ycombinator.com/item?id=46817469", "by": "tgtweak", "date": "2026-01-29", "version": "5", "stance": "recommend", "quote": "5.0-nano has been great for fast (and cheap) quick requests", "excerpt": "5.2 is back to being a sycophantic hallucinating mess for most use cases - I've anecdotally caught it out on many of the sessions I've had where it apologizes \"You're absolutely right... that used to be the case but as of the latest version as you pointed out, it no longer is.\" when it never existed in the first place. It's just not good. On the other hand - 5.0-nano has been great for fast (and cheap) quick requests", "context": "", "use_case": "fast cheap quick requests", "switched_from": "", "story": "Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT"}, {"id": 736520355, "item_id": 46032522, "url": "https://news.ycombinator.com/item?id=46032522", "by": "cpluss", "date": "2025-11-24", "version": "5", "stance": "neutral", "quote": "using gpt-5-nano on 4,000 conversational cases", "excerpt": "Author here. I benchmarked Mem0 and Zep on MemBench as memory layers for LLM agents, using gpt-5-nano on 4,000 conversational cases and comparing against a long-context baseline. In this setup, the memory systems were 14\u201377\u00d7 more expensive over a full conversation and 31\u201333% less accurate at recalling facts than just passing the full history. The post shows the results and argues that the shared \u201cLLM-on-write\u201d archit", "context": "", "use_case": "", "switched_from": "", "story": "Universal LLM Memory Does Not Exist"}, {"id": 733788064, "item_id": 45861754, "url": "https://news.ycombinator.com/item?id=45861754", "by": "vessenes", "date": "2025-11-08", "version": "5", "stance": "warn", "quote": "gpt-5-nano and -mini are still very slow for me on API", "excerpt": "Looks like a leak: https://platform.openai.com/docs/models does not list it, and codex-mini-latest says that it's based on 4o. I wonder if it will be faster than codex; gpt-5-nano and -mini are still very slow for me on API, surprisingly so.", "context": "", "use_case": "", "switched_from": "", "story": "GPT-5-Codex-Mini \u2013 A more compact and cost-efficient version of GPT-5-Codex"}], "latest_version": {"label": "GPT nano 5.4", "people": 9, "rec": 3, "warn": 1, "other": 5}}