KI‑Modell‑Intelligenz

GPT-5.2

openai/gpt-5-2

Von OpenAI · Familie: gpt · veröffentlicht 2025-12-11 · Wissensstand: 2025-08-31

$1.75
Eingabe / 1 Mio. Tokens
$14.00
Ausgabe / 1 Mio. Tokens
400K
Kontextfenster
128K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

Tool CallingReasoningStrukturierte AusgabeAnhängeOffene GewichteTemperatur-Steuerung
Modalitäten: Eingabe text, image · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding92
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)12/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency38
  • Headline price (log-scaled)33/95
  • Has prompt-cache pricing5/5
Long context70
  • Context window (100K → 2M)60/90
  • Has published price for full window10/10
Vision94
  • Accepts image input50/50
  • Context window (10K → 1M)24/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$15.75
$0.02 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$31.50
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$10.50
$0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$28.00
$0.03 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$29.40
$0.03 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von openai · gpt-5.2

$1.75
Eingabe
$14.00
Ausgabe
$0.175
Cache-Lesen

Günstigster Anbieter: github-copilot · Unknown Eingabe + Unknown Ausgabe

Bei 22 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
OpenAI
openai
gpt-5.2$1.75$14.00400K2025-12-11
GitHub Copilot
github-copilot
gpt-5.2UnknownUnknown264K2025-12-11
Azure Cognitive Services
azure-cognitive-services
gpt-5.2$1.75$14.00400K2025-12-11
Azure
azure
gpt-5.2$1.75$14.00400K2025-12-11
OpenRouter
openrouter
openai/gpt-5.2$1.75$14.00400K2025-12-11
Vercel AI Gateway
vercel
openai/gpt-5.2$1.75$14.00400K2025-08-07
302.AI
302ai
gpt-5.2$1.75$14.00400K2025-12-12
NanoGPT
nano-gpt
openai/gpt-5.2$1.75$14.00400K2026-01-01
Abacus
abacus
gpt-5.2$1.75$14.00400K2025-12-11
Perplexity Agent
perplexity-agent
openai/gpt-5.2$1.75$14.00400K2025-12-11
Jiekou.AI
jiekou
gpt-5.2$1.57$12.60400K2026-01
ZenMux
zenmux
openai/gpt-5.2$1.75$14.00400K2025-12-11
Qiniu
qiniu-ai
openai/gpt-5.2UnknownUnknown400K2025-12-11
Kilo Gateway
kilo
openai/gpt-5.2$1.75$14.00400K2025-12-11
Cloudflare AI Gateway
cloudflare-ai-gateway
openai/gpt-5.2$1.75$14.00400K2025-12-11
OpenCode Zen
opencode
gpt-5.2$1.75$14.00400K2025-12-11
Poe
poe
openai/gpt-5.2$1.60$13.00400K2025-12-08
AIHubMix
aihubmix
gpt-5.2$1.75$14.00400K2025-12-11
Requesty
requesty
openai/gpt-5.2$1.75$14.00400K2025-12-11
DigitalOcean
digitalocean
openai-gpt-5.2$1.75$14.00400K2025-12-11
LLM Gateway
llmgateway
gpt-5.2$1.75$14.00400K2025-12-11
QiHang
qihang-ai
gpt-5.2$0.250$2.00400K2025-12-11

Datenunterschiede zwischen Anbietern

  • context_window varies: 264000, 400000
  • release_date varies (span 147d): 2025-08-07, 2025-12-08, 2025-12-11, 2025-12-12, 2026-01, 2026-01-01
  • modalities varies across offerings

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does GPT-5.2 cost?

GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GPT-5.2?

GPT-5.2 has a context window of 400K tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5.2 support tool calling?

Yes. GPT-5.2 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GPT-5.2 support structured output / JSON mode?

Yes. GPT-5.2 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can GPT-5.2 accept image input?

Yes. GPT-5.2 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is GPT-5.2 open-weight?

No. GPT-5.2 is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-5.2?

If GPT-5.2 doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5 Mini. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More OpenAI models

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.