GPT-5.4 mini
GPT-5.4 Mini brings the strengths of GPT-5.4 to a faster, more efficient model designed for high-volume workloads.
text + image + file → text · made by OpenAI
Sold by 27 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedprices.azure.com · read 2026-08-24 |
| OpenAI api | batch | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Databricks cloud | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached$0.75per Mtok cache writemodels.dev · read 2026-09-16 |
| DigitalOcean cloud | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedmodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Microsoft Azure AI cloud | priority | $1.5per Mtok in$9per Mtok out$0.15per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Requesty 3 ways | $0.34per Mtok in$2.02per Mtok out$0.034per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $0.34per Mtok in$2.02per Mtok out$0.034per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses flex | $0.34per Mtok in$2.02per Mtok out$0.034per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | openai | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedrouter.requesty.ai · read 2026-09-15 |
| Requesty aggregator | openai-responses | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedrouter.requesty.ai · read 2026-09-10 |
| Requesty aggregatornot on the seller's list today | azure eastus2 | $0.68per Mtok in$4.05per Mtok out$0.068per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Nous Research 2 ways | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached | |
| Nous Research aggregator | batch | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 5 ways | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached | |
| OpenRouter aggregator | batch | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $0.38per Mtok in$2.25per Mtok out$0.037per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | azure/us | $0.82per Mtok in$4.95per Mtok out$0.083per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | openai/fast | $1.5per Mtok in$9per Mtok out$0.15per Mtok cachedopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregatornot on the seller's list today | openai/priority | $1.5per Mtok in$9per Mtok out$0.15per Mtok cachedopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.5per Mtok in$3per Mtok outapi.electronhub.ai · read 2026-09-16 |
| GitHub Copilot aggregator | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedmodels.dev · read 2026-09-16 |
| Vercel AI Gateway 2 ways | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cached | |
| Vercel AI Gateway aggregator | standard | $0.75per Mtok in$4.5per Mtok out$0.075per Mtok cachedvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregatornot on the seller's list today | sandbox | $0.75per Mtok in$4.5per Mtok outvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregator | fast | $1.5per Mtok in$9per Mtok out$0.15per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
| Venice AI aggregator | standard | $0.94per Mtok in$5.62per Mtok out$0.094per Mtok cachedmodels.dev · read 2026-09-16 |
Measured 34 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 19thof 30 | Frontiercode — Epoch AI | Main score | 0.27 |
| 20thof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 5.5 |
| 26thof 101 | FrontierMath (Tiers 1-3) | mean_score (high) | 28.28 |
| 30thof 65 | Apex agents — Epoch AI | Pass@1 score | 0.246 |
| 31stof 112 | Ale bench — Epoch AI | Performance (high) | 1188.58 |
| 34thof 123 | Lmca — Epoch AI | Score (xhigh) | 40.79 |
| 34thof 64 | Proofbench — Epoch AI | Accuracy (xhigh) | 21 |
| 39thof 41 | Deepresearchbench — Epoch AI | Average score (low) | 0.363 |
| 39thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 51.228 |
| 43rdof 152 | LMArena · Vision | Score (Elo) (high) | 1252 |
| 49thof 170 | Weirdml — Epoch AI | Accuracy (high) | 60.3 |
| 51stof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 9.756 |
| 59thof 72 | Frontiermath tier 4 — Epoch AI | mean_score (high) | 2.08 |
| 61stof 80 | Simpleqa verified — Epoch AI | mean_score (high) | 29.4 |
| 63rdof 177 | Critpt — Epoch AI | Accuracy (xhigh) | 10 |
| 63rdof 168 | Scicode — Epoch AI | Score (xhigh) | 49.884 |
| 64thof 222 | Chess puzzles — Epoch AI | mean_score (xhigh) | 24 |
| 64thof 290 | OTIS Mock AIME 2024-2025 | mean_score (xhigh) | 88.889 |
| 67thof 161 | Dtbench — Epoch AI | Accuracy (xhigh) | 80 |
| 69thof 81 | Forecastbench — Epoch AI | Overall score | 57 |
| 69thof 313 | GPQA Diamond | mean_score (xhigh) | 86.869 |
| 72ndof 184 | Artificial Analysis · Coding Index | Index | 56.1 |
| 74thof 402 | LMArena · Text | Score (Elo) (high) | 1448 |
| 75thof 121 | Webdev arena — Epoch AI | Arena Score (high) | 1397.08 |
| 76thof 143 | Artificial Analysis · Agentic Index | Index | 19.7 |
| 78thof 128 | LMArena · WebDev | Score (Elo) (high) | 1397 |
| 94thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (xhigh) | 17.78 |
| 96thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (xhigh) | 75.12 |
| 98thof 127 | Mystery game puzzles — Epoch AI | mean_score (none) | 11 |
| 104thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (xhigh) | 18.9 |
| 107thof 227 | Arc agi 2 — Epoch AI | Score (xhigh) | 18.9 |
| 116thof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (xhigh) | 63.67 |
| 126thof 244 | Arc agi — Epoch AI | Score (xhigh) | 63.67 |
| 246thof 656 | Epoch capabilities index — Epoch AI | ECI Score (none) | 149.05 |
About
GPT-5.4 mini — a text model from OpenAI, sold by 11 companies from $0.5 in and $3 out per million tokens, placed 74th of 402 on LMArena · Text.
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 reasoning, code and agents. Eleven companies sell it. The cheapest is $0.5 in and $3 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 34 boards, and stands best at 74th of 402 on LMArena · Text.
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
- $0.5 in and $3 out per million tokens — ElectronHub
- Boards
- 34
- Best place
- 74th of 402 — LMArena · Text
Known as 10 names
5.4 miniopenai/gpt-5.4-miniopenai/gpt-5.4-mini:batchgpt-5.4-miniazure/gpt-5.4-miniazure/gpt-5.4-mini@eastus2openai-responses/gpt-5.4-miniopenai-responses/gpt-5.4-mini:flexopenai/gpt-5.4-mini:flexOpenAI: GPT-5.4 Mini (batch)