GPT-5.4
GPT-5.4 is OpenAI's best general-purpose model, part of the GPT-5 flagship model family.
text + image + file → text · made by OpenAI
$2.5→$15per Mtok in / out
OpenAI · 13 sellers
Sold by 38 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $1.25per Mtok in$7.5per Mtok out$0.13per Mtok cachedprices.azure.com · read 2026-08-24 |
| OpenAI api | batch | $1.25per Mtok in$7.5per Mtok out$0.13per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Databricks cloud | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-09-16 |
| DigitalOcean cloud | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | long-context batch | $2.5per Mtok in$11.25per Mtok out$0.25per Mtok cachedprices.azure.com · read 2026-08-24 |
| OpenAI api | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| AWS Bedrock cloud | standard | $2.75per Mtok in$16.5per Mtok out$0.28per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | long-context | $5per Mtok in$22.5per Mtok out$0.5per Mtok cachedprices.azure.com · read 2026-08-24 |
| Microsoft Azure AI cloud | priority | $5.5per Mtok in$33per Mtok out$0.55per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Requesty 4 ways | $1.12per Mtok in$6.75per Mtok out$0.11per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $1.12per Mtok in$6.75per Mtok out$0.11per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses flex | $1.12per Mtok in$6.75per Mtok out$0.11per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure eastus2 | $2.25per Mtok in$13.5per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure francecentral | $2.25per Mtok in$13.5per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure swedencentral | $2.48per Mtok in$14.85per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | bedrock us-east-2 | $2.48per Mtok in$14.85per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | bedrock us-west-2 | $2.48per Mtok in$14.85per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-09-12 |
| Requesty aggregator | openai | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-09-15 |
| Requesty aggregator | openai-responses | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-09-11 |
| Requesty aggregator | bedrock | $2.75per Mtok in$16.5per Mtok out$0.28per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Nous Research 2 ways | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached | |
| Nous Research aggregator | batch | $1.25per Mtok in$7.5per Mtok out$0.12per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 7 ways | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached | |
| OpenRouter aggregator | batch | $1.25per Mtok in$7.5per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $1.25per Mtok in$7.5per Mtok out$0.12per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | amazon-bedrock/us-east-1 | $2.75per Mtok in$16.5per Mtok out$0.28per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/eu | $2.75per Mtok in$16.5per Mtok out$0.28per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/us | $2.75per Mtok in$16.5per Mtok out$0.28per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | openai/fast | $5per Mtok in$30per Mtok out$0.5per Mtok cachedopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregatornot on the seller's list today | openai/priority | $5per Mtok in$30per Mtok out$0.5per Mtok cachedopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $2per Mtok in$12per Mtok outapi.electronhub.ai · read 2026-09-16 |
| GitHub Copilot aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedmodels.dev · read 2026-09-16 |
| Inference.net aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedapi.inference.net · read 2026-09-16 |
| Vercel AI Gateway 2 ways | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached | |
| Vercel AI Gateway aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cachedvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregatornot on the seller's list today | sandbox | $2.5per Mtok in$15per Mtok outvercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregator | fast | $5per Mtok in$30per Mtok out$0.5per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
| Venice AI aggregator | standard | $3.13per Mtok in$18.8per Mtok out$0.31per Mtok cachedmodels.dev · read 2026-09-16 |
Measured 69 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 1stof 23 | Cl bench — Epoch AI | Overall (xhigh) | 0.279 |
| 1stof 25 | SWE-Bench Pro (Public Dataset) | Resolve Rate (xhigh) | 59.1 |
| 2ndof 17 | Cl bench life — Epoch AI | Overall (xhigh) | 0.217 |
| 3rdof 32 | AIME 2026 | Accuracy (± 95% CI) (xhigh) | 99.17 |
| 3rdof 18 | Algotune — Epoch AI | Score (high) | 1.85 |
| 5thof 101 | FrontierMath (Tiers 1-3) | mean_score (xhigh) | 47.6 |
| 5thof 202 | Terminalbench — Epoch AI | Accuracy mean | 0.818 |
| 6thof 51 | Humanity's Last Exam (Epoch AI replication) | Accuracy (xhigh) | 36.24 |
| 6thof 8 | Mirrorcode — Epoch AI | mean_score (high) | 15.556 |
| 7thof 50 | Metr time horizons — Epoch AI | average_score | 0.743 |
| 8thof 72 | Frontiermath tier 4 — Epoch AI | mean_score (xhigh) | 27.1 |
| 8thof 35 | Swe bench verified — Epoch AI | mean_score (high) | 76.86 |
| 9thof 112 | Ale bench — Epoch AI | Performance (high) | 1607 |
| 9thof 21 | Ebr bench — Epoch AI | mean_score (xhigh) | 25.397 |
| 9thof 46 | Enigma eval — Epoch AI | Accuracy (xhigh) | 15.96 |
| 9thof 38 | Gso — Epoch AI | Score OPT@1 (xhigh) | 0.314 |
| 9thof 262 | MMLU-Pro | Overall (accuracy) | 87.5 |
| 10thof 23 | Gbaeval — Epoch AI | Overall score | 0.451 |
| 10thof 28 | τ³-Banking Leaderboard | Pass^1 | 39.4 |
| 12thof 24 | Blueprint bench 2 — Epoch AI | Score | 27.115 |
| 12thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 78.596 |
| 12thof 12 | Posttrainbench — Epoch AI | Average (%) (high) | 0.19 |
| 12thof 168 | Scicode — Epoch AI | Score (xhigh) | 56.597 |
| 13thof 123 | Lmca — Epoch AI | Score (xhigh) | 51.97 |
| 13thof 127 | Mystery game puzzles — Epoch AI | mean_score (xhigh) | 37 |
| 13thof 64 | Proofbench — Epoch AI | Accuracy (xhigh) | 56 |
| 14thof 60 | Vending bench 2 — Epoch AI | Score | 6144.176 |
| 14thof 60 | Vending-Bench 2 — Current leaderboard | Money Balance (average across 5 runs) | 6144.18 |
| 15thof 313 | GPQA Diamond | mean_score (xhigh) | 93.3 |
| 15thof 152 | LMArena · Vision | Score (Elo) (high) | 1285 |
| 16thof 65 | Apex agents — Epoch AI | Pass@1 score (xhigh) | 0.36 |
| 16thof 161 | Dtbench — Epoch AI | Accuracy (xhigh) | 94.4 |
| 16thof 34 | LMArena · Search | Score (Elo) | 1197 |
| 17thof 222 | Chess puzzles — Epoch AI | mean_score (xhigh) | 44 |
| 19thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 49 |
| 21stof 170 | Weirdml — Epoch AI | Accuracy (xhigh) | 77.7 |
| 22ndof 290 | OTIS Mock AIME 2024-2025 | mean_score (high) | 97.778 |
| 26thof 177 | Critpt — Epoch AI | Accuracy (xhigh) | 23.429 |
| 26thof 402 | LMArena · Text | Score (Elo) (high) | 1476 |
| 28thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (xhigh) | 84.17 |
| 30thof 39 | ARC-AGI-3 (Semi-Private) | Score (%) (high) | 0.21 |
| 31stof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 7 |
| 33rdof 205 | ARC-AGI-1 (Public Eval) | Score (%) (xhigh) | 96.38 |
| 33rdof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (xhigh) | 93.67 |
| 33rdof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (xhigh) | 73.95 |
| 33rdof 42 | Design Arena · godotgamedev (agents) | Elo | 1135 |
| 34thof 109 | Design Arena · svg (models) | Elo | 1220 |
| 34thof 80 | Simpleqa verified — Epoch AI | mean_score (xhigh) | 45.1 |
| 37thof 244 | Arc agi — Epoch AI | Score (xhigh) | 93.67 |
| 38thof 92 | Design Arena · asciiart (models) | Elo | 1217 |
| 40thof 227 | Arc agi 2 — Epoch AI | Score (xhigh) | 73.95 |
| 40thof 184 | Artificial Analysis · Coding Index | Index | 71.1 |
| 40thof 41 | Deepresearchbench — Epoch AI | Average score (low) | 0.351 |
| 40thof 81 | Forecastbench — Epoch AI | Overall score | 59.5 |
| 40thof 46 | LMArena · Agent | Net Improvement (%) | 1.26 |
| 46thof 155 | Design Arena · gamedev (models) | Elo | 1261 |
| 47thof 69 | Deepswe — Epoch AI | Pass@1 (xhigh) | 0.518 |
| 50thof 152 | Design Arena · dataviz (models) | Elo | 1250 |
| 51stof 150 | Design Arena · uicomponent (models) | Elo | 1255 |
| 52ndof 55 | Design Arena · androidnative (agents) | Elo | 1046 |
| 54thof 128 | LMArena · WebDev | Score (Elo) (high) | 1463 |
| 54thof 121 | Webdev arena — Epoch AI | Arena Score (high) | 1462.9 |
| 57thof 62 | Design Arena · webapps (agents) | Elo | 1074 |
| 58thof 64 | Design Arena · fullstack (agents) | Elo | 1026 |
| 59thof 63 | Design Arena · mobileapps (agents) | Elo | 1115 |
| 63rdof 156 | Design Arena · codecategories (models) | Elo | 1227 |
| 64thof 162 | Design Arena · website (models) | Elo | 1232 |
| 76thof 656 | Epoch capabilities index — Epoch AI | ECI Score (none) | 156.77 |
| 94thof 147 | Design Arena · 3d (models) | Elo | 1130 |
About
GPT-5.4 — a text model from OpenAI, sold by 13 companies from $2 in and $12 out per million tokens, placed 1st of 25 on SWE-Bench Pro (Public Dataset).
It takes text, images and files and returns text, with a context window of 1,050,000 tokens. It was published in February 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. Thirteen companies sell it. The cheapest is $2 in and $12 out per million tokens at ElectronHub. Beside the standard rate there are batch, separately routed, faster, regional and flex lanes. It has been measured on 69 boards, and stands best at 1st of 25 on SWE-Bench Pro (Public Dataset).
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 1,050,000 tokens
- Published
- February 2026
- Knowledge to
- August 2025
- Licence
- not read
- Sellers
- 13
- Price
- $2 in and $12 out per million tokens — ElectronHub
- Boards
- 69
- Best place
- 1st of 25 — SWE-Bench Pro (Public Dataset)
Known as 24 names
GPT-5.4 (xhigh)GPT-5.4 (High)gpt-5.4-2026-03-05_xhighGPT 5.4 (High)gpt-5.4-searchgpt-5.4-highgpt-5.4 (xHigh)*5.4openai/gpt-5.4openai/gpt-5.4:batchazure/gpt-5.4azure/gpt-5.4@eastus2azure/gpt-5.4@francecentralazure/gpt-5.4@swedencentralazure/openai-responses/gpt-5.4@eastus2azure/openai-responses/gpt-5.4@francecentralazure/openai-responses/gpt-5.4@swedencentralbedrock/gpt-5.4@us-east-1bedrock/gpt-5.4@us-east-2bedrock/gpt-5.4@us-west-2openai-responses/gpt-5.4openai-responses/gpt-5.4:flexopenai/gpt-5.4:flexOpenAI: GPT-5.4 (batch)