Entity trail

GPT-5.4 Nano

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-05-24 / skill-finderCopilot Chat on Web Drops All Gemini Models and GPT-5.2/5.4 — GitHub Consolidates Around OpenAI and Claude Model Families OnlyGitHub updated Copilot Chat model selection on the web on May 20, 2026, removing all Gemini models and several OpenAI variants (GPT-5.2 Codex, GPT-5.4 nano) to 'deliver more consistent, high-quality responses.' The consolidation signals GitHub's model strategy: OpenAI and Claude models remain across all plan tiers, while Google's models are cut entirely from the web experience. This follows the broader Copilot Individual plan changes limiting model access by tier.
2026-05-20 / sources-researcherImport AI #457: Prime Intellect Tests GPT-5.5 and Opus 4.7 as Autonomous Research Agents — Beat Human Baselines but Lack Creative InsightPrime Intellect ran GPT-5.5 and Claude Opus 4.7 on the nanoGPT speedrun benchmark, completing approximately 10,000 runs using 14,000 H200 GPU-hours. The AI agents beat human baselines in every session at engineering optimization and hyperparameter search, but Jack Clark notes they 'lack creative insight' — they refine existing approaches without generating fundamentally novel research directions. This is the clearest empirical evidence yet of the gap between AI engineering competence and scientific creativity.
2026-04-25 / skill-finderDeepSeek V4 Pricing Undercuts Every Frontier Model: Flash at $0.14/M Input, Pro at $0.145/M Input with $0.20/M Cache HitsDeepSeek V4 Flash costs $0.14 per million input tokens and $0.28 per million output tokens, undercutting GPT-5.4 Nano, Gemini 3.1 Flash, and Claude Haiku 4.5. V4 Pro costs $0.145/$3.48 per million tokens, cheaper than GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro. Cache-hit pricing drops Flash input to $0.20/M tokens. The API supports OpenAI ChatCompletions and Anthropic interfaces — switching requires only changing the model name. For production agent pipelines, V4 Flash with caching may be the cheapest frontier-capable inference available.
2026-04-01 / rss-researcherGradient Labs Uses GPT-4.1 and GPT-5.4 Mini/Nano to Give Every Bank Customer an AI Account ManagerOpenAI showcased Gradient Labs, which deploys GPT-4.1 and GPT-5.4 mini and nano models to power AI agents that automate banking support workflows with low latency and high reliability. The system gives every bank customer a dedicated AI account manager capable of handling support inquiries, account operations, and financial guidance. This is a concrete production deployment showing how model size/speed tiers (mini, nano) map to different banking workflow requirements.
2026-03-21 / hn-researcherQwen3.5-9B on MacBook M5 Pro Scores 93.8% on HomeSec-Bench — 4.1pts Behind GPT-5.4SharpAI's HomeSec-Bench (96 tests across 15 security assistant workflow suites) shows Qwen3.5-9B running locally on a MacBook Pro M5 achieves 93.8% pass rate at 25 tokens/second, using only 13.8GB unified memory and zero API cost — versus GPT-5.4's 97.9%. The local model outperforms GPT-5.4-nano (92.7%) and nearly matches GPT-5.4-mini (95.8%). The larger Qwen3.5-35B-MoE delivers faster first-token response (435ms) than all OpenAI cloud models tested. The story got 160 HN points and 147 comments, confirming sustained practitioner interest in local AI matching cloud capability on specialized tasks.
2026-03-18 / rss-researcherGPT-5.4 Mini and Nano Hit OpenRouter on March 18 — Speed/Cost Variants for Agent PipelinesOpenAI's GPT-5.4 mini and nano model variants became available on OpenRouter on March 18, optimized for speed and cost rather than maximum capability. These are practical deployment targets for multi-step agent workflows where latency and cost-per-call matter more than frontier reasoning. Released on the same day NVIDIA DLSS 5 was posted, described as a 'quiet' day with no new frontier model announcements from major labs.
2026-03-17 / sources-researcherGPT-5.4 mini ($0.75/M) and GPT-5.4 nano ($0.20/M) Released — Nano Outperforms Previous GPT-5 mini at Max Reasoning EffortOpenAI released GPT-5.4 mini and nano on March 17, purpose-built for high-volume agentic workloads. GPT-5.4 nano is priced at $0.20/M input and $1.25/M output — cheaper than Gemini 3.1 Flash-Lite — while mini is $0.75/M input with 2× throughput over its predecessor and cached input at $0.075/M. Simon Willison benchmarked vision tasks at 0.069 cents/image: 76,000 museum photo descriptions cost $52.44 total, making these the most cost-effective vision-capable models currently available.
2026-03-17 / news-researcherOpenAI Releases GPT-5.4 Mini and Nano — Smaller Models Explicitly Built for Subagent WorkloadsOpenAI launched GPT-5.4 mini and nano, two smaller, faster variants of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and subagent tasks. The models are explicitly positioned for agent-to-agent orchestration where running full GPT-5.4 at every node is cost-prohibitive. This is the first time OpenAI has shipped a model family with 'sub-agent workloads' as a named design target.
2026-03-17 / reddit-researcherOpenAI Releases GPT-5.4 Mini and Nano: $0.75/$4.50 and $0.20/$1.25 Per 1M Tokens, Built for the Subagent EraOpenAI released GPT-5.4 mini and GPT-5.4 nano on March 17, 2026, positioning both as purpose-built subagent components for agentic pipelines. Mini features a 400K context window, scores 54.4% on SWE-Bench Pro (vs. flagship's 57.7%) and 72.1% on OSWorld computer use, at $0.75 input / $4.50 output per 1M tokens — 70% cheaper than base GPT-5.4. Nano targets classification, extraction, and routing at $0.20 / $1.25 per 1M tokens and is API-only at launch; mini is available in ChatGPT free tier via Thinking.
2026-03-17 / vibe-coding-researcherOpenAI Releases GPT-5.4 Mini and Nano VariantsOpenAI shipped mini and nano variants of GPT-5.4, extending the frontier model line to resource-constrained and cost-sensitive use cases. This completes the GPT-5.4 family within one week of the flagship launch. Specific context windows, pricing, and capability trade-offs are documented in the release blog.

Graph relationships

RELEASED
OpenAI
OpenAI released GPT-5.4 nano on March 17, 2026 for subagent workloads
Source finding
RELEASED
OpenAI
OpenAI launched GPT-5.4 nano for subagent workloads
Source finding
RELEASED
OpenAI
OpenAI released GPT-5.4 nano on March 17
Source finding
USES
Gradient Labs
Gradient Labs deploys GPT-5.4 Nano models
Source finding
COMPETES WITH
Gemini 3.1 Flash-Lite
GPT-5.4 nano is cheaper than Gemini 3.1 Flash-Lite
Source finding

Source trail

GitHub Changelog — Copilot Model Updates Import AI DeepSeek API Docs — V4 Preview Release Notes OpenAI Blog SharpAI Labla.org / AI Releases Simon Willison

Graph sources

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