Models
Price comparison

GPT-4.1

GPT-4.1 by OpenAI: 4 offers. From €0.89 per 1M input tokens. No offer with EU processing is listed.

Calculate costs for this modelCompare offersView price history

Profile

Profile
DeveloperOpenAI
TypeLanguage models
OriginUS
Input typestext+bild
Context (tokens)1,047,576
Max. output (tokens)32,768
Reasoningohne
Parameters (bn)–
Open weights– no
Licenceproprietär
Released–

searchit Entity Extraction (24 Sept 2026): 35.5 %

Offers with processing in the EU (1)

ProviderCountryVariantInputOutputSourceAs of
cortecsATstandard€1.97€7.87api.cortecs.ai14 Oct 2026

€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.

Offers outside the EU (3)

ProviderCountryVariantInputOutputSourceAs of
OpenAIUSbatch€0.89€3.58developers.openai.com12 Oct 2026
OpenAIUSstandard€1.79€7.15developers.openai.com12 Oct 2026
OpenAIUSfast€3.13€12.51developers.openai.com12 Oct 2026

€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.

AI Act

Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act

Benchmarks

Benchmarks
GPQA Diamond (Artificial Analysis)66.6
Humanity's Last Exam (Artificial Analysis)4.2
ARC-AGI-2 (ARC Prize Foundation)0.4
Berkeley Function-Calling Leaderboard V454
OTIS Mock AIME 2024-2025 (Epoch AI)38.3
FrontierMath Tiers 1-3 v2 (Epoch AI)6
SimpleQA Verified (Epoch AI)31.1
SWE-bench Verified (Epoch AI)48.5
Vectara HHEM-2.35.6
Vectara HHEM-2.3 – antwortrate99.9
Vectara HHEM-2.3 – halluzination5.6
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen26.1
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten45
Structured Output Benchmark (SOB), arXiv 2604.253590.97
Structured Output Benchmark (SOB), arXiv 2604.25359 – json pass0.97
Structured Output Benchmark (SOB), arXiv 2604.25359 – wertgenauigkeit0.81
MMLU-Pro (TIGER-Lab Leaderboard)81.8

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