GPT-5.4 nano
GPT-5.4 Nano is designed for tasks where speed and cost matter most like classification, data extraction, ranking, and sub-agents.
text + image + file → text · made by OpenAI
$0.2→$1.25per Mtok in / out
OpenAI · 11 sellers
Sold by 21 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $0.1per Mtok in$0.62per Mtok out$0.01per Mtok cachedprices.azure.com · read 2026-08-24 |
| Databricks cloud | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cached$0.2per Mtok cache writemodels.dev · read 2026-09-16 |
| DigitalOcean cloud | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedmodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Writer api | standard | $0.2per Mtok in$1.25per Mtok outdev.writer.com · read 2026-08-25 |
| Microsoft Azure AI cloud | priority | $0.4per Mtok in$2.5per Mtok out$0.04per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Requesty 2 ways | $0.09per Mtok in$0.56per Mtok out$0.009per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $0.09per Mtok in$0.56per Mtok out$0.009per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses flex | $0.09per Mtok in$0.56per Mtok out$0.009per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | openai-responses | $0.1per Mtok in$0.62per Mtok out$0.01per Mtok cachedrouter.requesty.ai · read 2026-09-10 |
| Requesty aggregator | openai | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-09-10 |
| ElectronHub aggregator | standard | $0.1per Mtok in$0.75per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Nous Research 2 ways | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cached | |
| Nous Research aggregator | batch | $0.1per Mtok in$0.62per Mtok out$0.01per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 4 ways | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cached | |
| OpenRouter aggregator | batch | $0.1per Mtok in$0.62per Mtok out$0.01per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $0.1per Mtok in$0.62per Mtok out$0.01per Mtok cachedopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregator | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | azure/us | $0.22per Mtok in$1.38per Mtok out$0.022per Mtok cachedopenrouter.ai · read 2026-08-25 |
| GitHub Copilot aggregator | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedmodels.dev · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.2per Mtok in$1.25per Mtok out$0.02per Mtok cachedvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregatornot on the seller's list today | sandbox | $0.2per Mtok in$1.25per Mtok outvercel.com · read 2026-08-25 |
Measured 30 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 2ndof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 3.1 |
| 29thof 72 | Frontiermath tier 4 — Epoch AI | mean_score (high) | 6.25 |
| 33rdof 101 | FrontierMath (Tiers 1-3) | mean_score (high) | 25.86 |
| 43rdof 112 | Ale bench — Epoch AI | Performance (high) | 1004.52 |
| 45thof 65 | Apex agents — Epoch AI | Pass@1 score | 0.169 |
| 45thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (high) | 44.912 |
| 48thof 222 | Chess puzzles — Epoch AI | mean_score (high) | 30 |
| 50thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (high) | 12.195 |
| 50thof 123 | Lmca — Epoch AI | Score (xhigh) | 36.86 |
| 57thof 64 | Proofbench — Epoch AI | Accuracy (high) | 5 |
| 65thof 161 | Dtbench — Epoch AI | Accuracy (xhigh) | 80.27 |
| 65thof 81 | Forecastbench — Epoch AI | Overall score | 57.3 |
| 68thof 177 | Critpt — Epoch AI | Accuracy (xhigh) | 9.253 |
| 70thof 184 | Artificial Analysis · Coding Index | Index | 56.1 |
| 71stof 170 | Weirdml — Epoch AI | Accuracy (high) | 49.23 |
| 72ndof 290 | OTIS Mock AIME 2024-2025 | mean_score (high) | 87.78 |
| 76thof 152 | LMArena · Vision | Score (Elo) (high) | 1201 |
| 76thof 80 | Simpleqa verified — Epoch AI | mean_score (high) | 11.7 |
| 78thof 143 | Artificial Analysis · Agentic Index | Index | 17.7 |
| 80thof 168 | Scicode — Epoch AI | Score (xhigh) | 46.875 |
| 105thof 127 | Mystery game puzzles — Epoch AI | mean_score (none) | 9 |
| 122ndof 216 | ARC-AGI-2 (Public Eval) | Score (%) (high) | 5.14 |
| 131stof 313 | GPQA Diamond | mean_score (high) | 78.47 |
| 133rdof 205 | ARC-AGI-1 (Public Eval) | Score (%) (high) | 51.62 |
| 134thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (xhigh) | 5.69 |
| 136thof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (xhigh) | 51.5 |
| 136thof 227 | Arc agi 2 — Epoch AI | Score (xhigh) | 5.69 |
| 146thof 244 | Arc agi — Epoch AI | Score (xhigh) | 51.5 |
| 146thof 402 | LMArena · Text | Score (Elo) (high) | 1402 |
| 301stof 656 | Epoch capabilities index — Epoch AI | ECI Score (none) | 145.93 |
About
GPT-5.4 nano — a text model from OpenAI, sold by 11 companies from $0.1 in and $0.75 out per million tokens, placed 2nd of 105 on Vectara Hallucination Leaderboard.
It takes text, images and files and returns text, with a context window of 400,000 tokens. It was published in March 2026, trained on material up to August 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under extract, reasoning and agents. Eleven companies sell it. The cheapest is $0.1 in and $0.75 out per million tokens at ElectronHub. Beside the standard rate there are batch, faster, regional, flex and separately routed lanes. It has been measured on 30 boards, and stands best at 2nd of 105 on Vectara Hallucination Leaderboard.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 400,000 tokens
- Longest answer
- 128,000 tokens
- Published
- March 2026
- Knowledge to
- August 2025
- Licence
- not read
- Sellers
- 11
- Price
- $0.1 in and $0.75 out per million tokens — ElectronHub
- Boards
- 30
- Best place
- 2nd of 105 — Vectara Hallucination Leaderboard
Known as 8 names
5.4 nanoopenai/gpt-5.4-nanoopenai/gpt-5.4-nano:batchgpt-5.4-nanoopenai-responses/gpt-5.4-nanoopenai-responses/gpt-5.4-nano:flexopenai/gpt-5.4-nano:flexOpenAI: GPT-5.4 Nano (batch)