GPT-5.2
GPT-5.2 is OpenAI's best general-purpose model, part of the GPT-5 flagship model family.
text + image + file → text · made by OpenAI
$1.75→$14per Mtok in / out
OpenAI · 11 sellers
Sold by 23 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $0.96per Mtok in$7.7per Mtok out$0.087per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Databricks cloud | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cached$1.75per Mtok cache writemodels.dev · read 2026-10-31 |
| DigitalOcean cloud | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-10-31 |
| Microsoft Azure AI cloud | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-10-31 |
| OpenAI api | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Databricks cloud | priority | $3.5per Mtok in$28per Mtok out$0.35per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Microsoft Azure AI cloud | priority | $3.85per Mtok in$30.8per Mtok out$0.39per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Requesty 2 ways | $0.79per Mtok in$6.3per Mtok out$0.079per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $0.79per Mtok in$6.3per Mtok out$0.079per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses flex | $0.79per Mtok in$6.3per Mtok out$0.079per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | openai | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedrouter.requesty.ai · read 2026-10-10 |
| Requesty aggregatornot on the seller's list today | openai-responses | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedrouter.requesty.ai · read 2026-09-10 |
| Nous Research 2 ways | $1.75per Mtok in$14per Mtok out$0.17per Mtok cached | |
| Nous Research aggregator | batch | $0.88per Mtok in$7per Mtok out$0.087per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 4 ways | $1.75per Mtok in$14per Mtok out$0.17per Mtok cached | |
| OpenRouter aggregator | batch | $0.88per Mtok in$7per Mtok out$0.087per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $0.88per Mtok in$7per Mtok out$0.087per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/fast | $3.5per Mtok in$28per Mtok out$0.35per Mtok cachedopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $1.75per Mtok in$14per Mtok outapi.electronhub.ai · read 2026-10-31 |
| GitHub Copilot 0 ways | $1.75per Mtok in$14per Mtok out$0.17per Mtok cached | |
| GitHub Copilot aggregatornot on the seller's list today | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-09-04 |
| RedPill aggregator | standard | $1.75per Mtok in$14per Mtok outapi.redpill.ai · read 2026-09-20 |
| Venice AI aggregator | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedmodels.dev · read 2026-10-31 |
| Vercel AI Gateway aggregator | standard | $1.75per Mtok in$14per Mtok out$0.17per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
Measured 53 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 1stof 18 | Algotune — Epoch AI | Score (medium) | 2.05 |
| 1stof 11 | Gdpval — Epoch AI | Win Rate (%) (none) | 0.497 |
| 2ndof 38 | Vpct — Epoch AI | Correct (xhigh) | 0.84 |
| 4thof 49 | Metr time horizons — Epoch AI | average_score (high) | 0.753 |
| 9thof 101 | FrontierMath (Tiers 1-3) | mean_score (xhigh) | 40.7 |
| 11thof 34 | LMArena · Search | Score (Elo) | 1207 |
| 12thof 23 | Cl bench — Epoch AI | Overall | 0.182 |
| 13thof 72 | Frontiermath tier 4 — Epoch AI | mean_score (xhigh) | 18.8 |
| 13thof 18 | Rli — Epoch AI | Score (medium) | 2.502 |
| 14thof 42 | Gso — Epoch AI | Score OPT@1 (high) | 0.275 |
| 14thof 56 | Humanity's Last Exam (Epoch AI replication) | Accuracy | 27.8 |
| 15thof 46 | Enigma eval — Epoch AI | Accuracy | 10.39 |
| 17thof 28 | Ebr bench — Epoch AI | mean_score (xhigh) | 23.016 |
| 19thof 154 | Chess puzzles — Epoch AI | mean_score (xhigh) | 48 |
| 19thof 35 | Furniture assembly — Epoch AI | mean_score (xhigh) | 38.333 |
| 19thof 35 | Swe bench verified — Epoch AI | mean_score (high) | 73.76 |
| 23rdof 25 | Weirdml v3 — Epoch AI | Score (xhigh) | 5.008 |
| 31stof 173 | Weirdml — Epoch AI | Accuracy (xhigh) | 72.19 |
| 33rdof 122 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 67.4 |
| 34thof 92 | Forecastbench — Epoch AI | Overall score | 64.2 |
| 34thof 326 | GPQA Diamond | mean_score (xhigh) | 91.4 |
| 34thof 202 | Terminalbench — Epoch AI | Accuracy mean | 0.649 |
| 35thof 50 | Design Arena · godotgamedev (agents) | Elo | 1142 |
| 36thof 41 | Deepresearchbench — Epoch AI | Average score (low) | 0.411 |
| 39thof 132 | Ale bench — Epoch AI | Performance (high) | 1293.55 |
| 41stof 78 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 31.7 |
| 44thof 54 | Design Arena · androidnative (agents) | Elo | 1055 |
| 44thof 306 | OTIS Mock AIME 2024-2025 | mean_score (high) | 96.111 |
| 44thof 111 | Vectara Hallucination Leaderboard | Hallucination Rate | 8.4 |
| 49thof 71 | Vending bench 2 — Epoch AI | Score | 3591.326 |
| 52ndof 61 | Design Arena · fullstack (agents) | Elo | 1043 |
| 53rdof 142 | Mystery game puzzles — Epoch AI | mean_score (high) | 23 |
| 53rdof 93 | Simpleqa verified — Epoch AI | mean_score (xhigh) | 37.1 |
| 58thof 68 | Design Arena · mobileapps (agents) | Elo | 1093 |
| 59thof 68 | Design Arena · webapps (agents) | Elo | 1074 |
| 61stof 93 | Design Arena · asciiart (models) | Elo | 1149 |
| 61stof 135 | Webdev arena — Epoch AI | Arena Score (high) | 1480 |
| 62ndof 165 | LMArena · Vision | Score (Elo) (high) | 1243 |
| 62ndof 102 | Simplebench — Epoch AI | Score (AVG@5) (high) | 0.458 |
| 64thof 84 | Proofbench — Epoch AI | Accuracy (xhigh) | 15 |
| 76thof 235 | Dtbench — Epoch AI | Accuracy (xhigh) | 90.93 |
| 77thof 114 | Design Arena · svg (models) | Elo | 1137 |
| 80thof 162 | Design Arena · gamedev (models) | Elo | 1195 |
| 83rdof 141 | LMArena · WebDev | Score (Elo) | 1416 |
| 84thof 154 | Design Arena · dataviz (models) | Elo | 1202 |
| 88thof 157 | Design Arena · uicomponent (models) | Elo | 1185 |
| 91stof 169 | Design Arena · website (models) | Elo | 1193 |
| 97thof 197 | Lmca — Epoch AI | Score (xhigh) | 43.91 |
| 101stof 414 | LMArena · Text | Score (Elo) (high) | 1437 |
| 103rdof 163 | Design Arena · codecategories (models) | Elo | 1168 |
| 112thof 290 | Arc agi 2 — Epoch AI | Score (xhigh) | 52.91 |
| 115thof 150 | Design Arena · 3d (models) | Elo | 1075 |
| 118thof 309 | Arc agi — Epoch AI | Score (xhigh) | 86.2 |
About
GPT-5.2 — a text model from OpenAI, sold by 11 companies from $1.75 in and $14 out per million tokens, placed 1st of 18 on Algotune — Epoch AI.
It takes text, images and files and returns text, with a context window of 400,000 tokens. It was published in December 2025, 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 $1.75 in and $14 out per million tokens at Databricks. Beside the standard rate there are faster, batch, flex and separately routed lanes. It has been measured on 53 boards, and stands best at 1st of 18 on Algotune — Epoch AI.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 400,000 tokens
- Longest answer
- 128,000 tokens
- Published
- December 2025
- Knowledge to
- August 2025
- Licence
- not read
- Sellers
- 11
- Price
- $1.75 in and $14 out per million tokens — Databricks
- Boards
- 53
- Best place
- 1st of 18 — Algotune — Epoch AI
Known as 19 names
GPT-5.2 (high)GPT-5.2 (xhigh)GPT-5.2 (Refine.)GPT-5.2-2025-12-11 (FC)gpt-5.2-searchgpt-5.2-search-non-reasoningGPT 5.2GPT 5.2 (2025-12-11) (high)GPT 5.2 (high)GPT 5.2 high5.2openai/gpt-5.2openai/gpt-5.2:batchazure/gpt-5.2@eastus2openai-responses/gpt-5.2openai-responses/gpt-5.2:flexopenai/gpt-5.2:flexopenai/gpt-5.2-batchOpenAI: GPT-5.2 (batch)