GPT-5 mini
GPT-5 mini is a cost optimized model that excels at reasoning/chat tasks.
text + image + file → text · made by OpenAI
$0.25→$2per Mtok in / out
OpenAI · 13 sellers
Sold by 28 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $0.12per Mtok in$0.013per Mtok cachedprices.azure.com · read 2026-08-24 |
| Databricks cloud | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cached$0.25per Mtok cache writemodels.dev · read 2026-09-16 |
| DigitalOcean cloud | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $0.25per Mtok in$2per Mtok out$0.03per Mtok cachedmodels.dev · read 2026-09-16 |
| OpenAI api | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Oracle Cloud Infrastructure cloud | standard | $0.25per Mtok in$2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| Snowflake Cortex cloud | standard | $0.3per Mtok in$1.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| Microsoft Azure AI cloud | priority | $0.45per Mtok in$3.6per Mtok out$0.045per Mtok cachedprices.azure.com · read 2026-08-24 |
| Requesty 3 ways | $0.11per Mtok in$0.9per Mtok out$0.011per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $0.11per Mtok in$0.9per Mtok out$0.011per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | openai | $0.12per Mtok in$1per Mtok out$0.013per Mtok cachedrouter.requesty.ai · read 2026-09-16 |
| Requesty aggregatornot on the seller's list today | azure eastus2 | $0.23per Mtok in$1.8per Mtok out$0.022per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure francecentral | $0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure swedencentral | $0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | azure uksouth | $0.25per Mtok in$1.98per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-09-16 |
| Requesty aggregator | openai-responses | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregatornot on the seller's list today | openai priority | $0.41per Mtok in$3.24per Mtok out$0.041per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Nous Research 2 ways | $0.25per Mtok in$2per Mtok out$0.03per Mtok cached | |
| Nous Research aggregator | batch | $0.12per Mtok in$1per Mtok out$0.013per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.25per Mtok in$2per Mtok out$0.03per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 5 ways | $0.25per Mtok in$2per Mtok out$0.025per Mtok cached | |
| OpenRouter aggregator | batch | $0.12per Mtok in$1per Mtok out$0.013per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $0.12per Mtok in$1per Mtok out$0.013per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | azure | $0.25per Mtok in$2per Mtok out$0.03per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/swedencentral | $0.28per Mtok in$2.2per Mtok out$0.033per Mtok cachedopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.2per Mtok in$1.2per Mtok outapi.electronhub.ai · read 2026-09-16 |
| GitHub Copilot aggregator | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedmodels.dev · read 2026-09-16 |
| Inference.net aggregator | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedapi.inference.net · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.25per Mtok in$2per Mtok out$0.025per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
Measured 49 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 3rdof 108 | Math level 5 — Epoch AI | mean_score (high) | 97.847 |
| 5thof 10 | Humanity's Last Exam | Accuracy (%) | 19.4 |
| 10thof 49 | Lech mazur writing — Epoch AI | Mean score (medium) | 8.31 |
| 15thof 18 | Algotune — Epoch AI | Score (high) | 1.38 |
| 17thof 109 | Berkeley Function-Calling Leaderboard (BFCL) V4 | Overall Acc (fc) | 55.46 |
| 17thof 46 | Enigma eval — Epoch AI | Accuracy | 8.193 |
| 17thof 81 | Forecastbench — Epoch AI | Overall score | 61 |
| 17thof 51 | Humanity's Last Exam (Epoch AI replication) | Accuracy | 19.44 |
| 17thof 38 | Vpct — Epoch AI | Correct (medium) | 0.402 |
| 19thof 42 | Fictionlivebench — Epoch AI | 120k token score (medium) | 0.625 |
| 28thof 101 | FrontierMath (Tiers 1-3) | mean_score (high) | 27.241 |
| 29thof 35 | Swe bench verified — Epoch AI | mean_score (medium) | 64.669 |
| 31stof 72 | Frontiermath tier 4 — Epoch AI | mean_score (high) | 6.25 |
| 41stof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (high) | 46.667 |
| 46thof 222 | Chess puzzles — Epoch AI | mean_score (high) | 30 |
| 49thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (high) | 12.195 |
| 51stof 64 | Proofbench — Epoch AI | Accuracy (high) | 9 |
| 56thof 123 | Lmca — Epoch AI | Score (high) | 34.2 |
| 59thof 112 | Ale bench — Epoch AI | Performance (high) | 799.77 |
| 60thof 60 | Vending bench 2 — Epoch AI | Score | -31.184 |
| 62ndof 170 | Weirdml — Epoch AI | Accuracy (high) | 52.67 |
| 63rdof 161 | Dtbench — Epoch AI | Accuracy (high) | 80.53 |
| 65thof 80 | Simpleqa verified — Epoch AI | mean_score (high) | 21.6 |
| 70thof 92 | Design Arena · asciiart (models) | Elo | 1140 |
| 81stof 109 | Design Arena · svg (models) | Elo | 1116 |
| 81stof 290 | OTIS Mock AIME 2024-2025 | mean_score (high) | 86.667 |
| 84thof 105 | Vectara Hallucination Leaderboard | Hallucination Rate | 12.9 |
| 90thof 152 | LMArena · Vision | Score (Elo) (high) | 1183 |
| 99thof 143 | Artificial Analysis · Agentic Index | Index | 8.9 |
| 101stof 155 | Design Arena · gamedev (models) | Elo | 1152 |
| 101stof 127 | Mystery game puzzles — Epoch AI | mean_score (minimal) | 10 |
| 105thof 150 | Design Arena · uicomponent (models) | Elo | 1121 |
| 110thof 152 | Design Arena · dataviz (models) | Elo | 1146 |
| 113thof 162 | Design Arena · website (models) | Elo | 1138 |
| 115thof 156 | Design Arena · codecategories (models) | Elo | 1130 |
| 116thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (high) | 5.83 |
| 119thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (high) | 61.52 |
| 119thof 147 | Design Arena · 3d (models) | Elo | 1065 |
| 121stof 168 | Scicode — Epoch AI | Score | 39.236 |
| 123rdof 202 | Terminalbench — Epoch AI | Accuracy mean | 0.348 |
| 131stof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (high) | 54.33 |
| 142ndof 244 | Arc agi — Epoch AI | Score (high) | 54.33 |
| 144thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (high) | 4.44 |
| 147thof 227 | Arc agi 2 — Epoch AI | Score (high) | 4.44 |
| 152ndof 313 | GPQA Diamond | mean_score (high) | 75 |
| 160thof 184 | Artificial Analysis · Coding Index | Index | 15.6 |
| 163rdof 402 | LMArena · Text | Score (Elo) (high) | 1390 |
| 166thof 177 | Critpt — Epoch AI | Accuracy | 0 |
| 316thof 656 | Epoch capabilities index — Epoch AI | ECI Score (high) | 145.54 |
About
GPT-5 mini — a text model from OpenAI, sold by 13 companies from $0.2 in and $1.2 out per million tokens, placed 3rd of 108 on Math level 5 — Epoch AI.
It takes text, images and files and returns text, with a context window of 400,000 tokens. It was published in 2025, trained on material up to May 2024. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning and agents. Thirteen companies sell it. The cheapest is $0.2 in and $1.2 out per million tokens at ElectronHub. Beside the standard rate there are batch, faster, separately routed, regional and flex lanes. It has been measured on 49 boards, and stands best at 3rd of 108 on Math level 5 — Epoch AI.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 400,000 tokens
- Published
- 2025
- Knowledge to
- May 2024
- Licence
- not read
- Sellers
- 13
- Price
- $0.2 in and $1.2 out per million tokens — ElectronHub
- Boards
- 49
- Best place
- 3rd of 108 — Math level 5 — Epoch AI
Known as 16 names
GPT-5-mini-2025-08-07 (FC)GPT-5 mini (high)GPT-5-mini5 miniGPT 5 Miniopenai/gpt-5-miniopenai/gpt-5-mini:batchazure/gpt-5-miniazure/gpt-5-mini@eastus2azure/gpt-5-mini@francecentralazure/gpt-5-mini@swedencentralazure/gpt-5-mini@uksouthopenai-responses/gpt-5-miniopenai/gpt-5-mini:flexopenai/gpt-5-mini:priorityOpenAI: GPT-5 Mini (batch)