GPT-5.4 Pro
gpt-5.4-progpt-54-proopenai-gpt-54-pro- 🧠 Pro-tier GPT-5.4 model for complex, high-stakes reasoning.
- 📏 1M+ token context: 922K input, 128K output.
- 👁️ Accepts text and image inputs.
- 🔧 Supports reasoning, function calling, and web search.
- ⚡ Reasoning effort selectable at medium, high, or xhigh.
- 🆕 Builds on GPT-5.4's unified architecture with enhanced reasoning.
- 🎯 Uses extra compute to think harder for precision.
- 🗓️ Released March 2026 by OpenAI.
OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…
Explore 22 more models by OpenAI →GPT-5.4 Pro is the Pro-tier model in OpenAI's GPT-5.4 generation, building on the unified architecture introduced with [[sibling:openai-gpt-54|GPT-5.4]] and adding enhanced reasoning. It targets complex, high-stakes work — agentic coding, long-context workflows, and multi-step problem solving — where consistency and depth matter most.
The defining trait versus its base sibling is compute. According to OpenAI's developer documentation, GPT-5.4 Pro "uses more compute to think harder and provide consistently better answers," and exposes reasoning effort settings of medium, high, and xhigh. By contrast, [[sibling:openai-gpt-54|GPT-5.4]] also offers lower none and low effort tiers as a broader frontier default. Both share the same roughly 1.05M-token context window; OpenAI notes that prompts above 272K input tokens are billed at higher multipliers for the full session.
In feature terms, GPT-5.4 Pro carries a 1M+ token context (922K input, 128K output) and accepts both text and image inputs, with capabilities spanning reasoning, vision, function calling, and web search.
GPT-5.4 Pro is no longer OpenAI's newest Pro-tier release: it was succeeded by [[sibling:openai-gpt-55-pro|GPT-5.5 Pro]] in April 2026. Catalog siblings include the lighter [[sibling:openai-gpt-54-mini|GPT-5.4 Mini]] and the earlier [[sibling:openai-gpt-52|GPT-5.2]]. Independent, primary benchmark figures for GPT-5.4 Pro were not available at the time of writing, so specific scores are omitted here.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | 83 | #1 | $5.00 | $5.00 | $30.00 | chat,legal,finance,premium,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 68 | gated | $11.25 | $11.25 | $67.50 | agents,chat,cheap,frontier,function-calling,multimodal,reasoning,research,tasks,tools,vision,web-search | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 37 | gated | $32.5786 | $32.5786 | $195.4718 | chat,coding,json,math,reasoning,tools | — |
| Meridian AI 0x8c8c…06f5 | 22 | gated | $3.645 | $3.645 | $21.87 | chat,coding,reasoning | openai-chat-completions |
| antseed-neon-puma-944e 0x6650…944e | 3 | gated | $12.7875 | $12.7875 | $76.725 | chat,math | openai-chat-completions |
| antseed-opal-badger-2580 0xc85d…2580 | 2 | gated | $18.75 | $18.75 | $112.50 | chat | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 0 | gated | $27.3874 | $27.3874 | $164.3243 | chat,legal,finance,premium,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
| Leftermute 0x388b…5389 | 0 | gated | $3.4088 | $3.4088 | $20.4525 | chat,coding,json,reasoning,tools | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.