Head-to-Head Model Comparison

GPT-4o vs GPT-4 Turbo

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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GPT-4oProfile

GPT-4 TurboProfile

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Popular Matchups:

OpenAI

GPT-4o

Natives Sprach- & Audiomodell

GPT-4o von OpenAI ist ein KI-Modell für natürliche Sprachsynthese, Echtzeit-Audioverarbeitung und präzise Transkription mit 128K Kontextfenster, 105 Token/s Durchsatz, einem Intelligenz-Index von 41/100 und $2.5/$10 pro 1M Token.

Intelligence Index41 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38.8%

OpenAI

GPT-4 Turbo

Klassische Modellgeneration

GPT-4 Turbo von OpenAI ist ein KI-Modell für zuverlässige Dialogsysteme, Textzusammenfassungen und klassische Enterprise-Aufgaben mit 128K Kontextfenster, 55 Token/s Durchsatz, einem Intelligenz-Index von 40/100 und $10/$30 pro 1M Token.

Intelligence Index40 / 100

Input Token:

$10.00 / 1M

Output Token:

$30.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

27.5%

Wichtigste Unterschiede auf einen Blick

GPT-4o is 3.4x cheaper for API usage (input + output tokens combined).
GPT-4o is faster at 105 tok/s vs 55 tok/s.
GPT-4o leads on SWE-bench coding (38.8% vs 27.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	GPT-4o	GPT-4 Turbo
Intelligence Index Composite reasoning & knowledge score (0-100)	41	40
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$2.50 / 1M	$10.00 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$30.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.38 / 1M	$8.50 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	16K	4K
Throughput Speed Tokens generated per second	105 tok/s	55 tok/s
SWE-bench Verified Real-world software engineering	38.8%	27.5%
GPQA Diamond Graduate-level reasoning	53.6%	48%
Cached Input Price Prompt caching discount per 1M tokens	$1.25 / 1M	$5.00 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

GPT-4o

+11.3% SWE-bench lead

Cost

GPT-4o

3.4x cheaper monthly runtime

Speed

GPT-4o

+91% faster generation

Context

Tied

128K tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

Official evaluation metrics verified by independent third-party research labs.

GPT-4oGPT-4 Turbo

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

38.8%vs27.5%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

53.6%vs48%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

72.6%vs70.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1286ptsvs1248pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

4.1%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

18.5%vsN/A

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

27.3%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

43.9%vsN/A

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

29.7%vsN/A

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

58.2%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs55 tok/s

Latenz & Antwortzeit

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

GPT-4o0.41s

GPT-4 Turbo0.65s

Est. End-to-End Response (500 tokens)TTFT + generation time

GPT-4o5.17s

GPT-4 Turbo9.74s

Interaktiver Token-Kosten-Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

GPT-4o Monthly API Bill

$14.63 / month

$2.5/1M in · $10/1M out

GPT-4 Turbo Monthly API Bill

$49.50 / month

$10/1M in · $30/1M out

GPT-4o saves approximately $34.88 / month (70%) under this workload.3.4x Savings

GPT-4o · Strengths & Key Advantages

128K Kontextfenster und bis zu 16K maximale Output-Token (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
Hohe Generierungsgeschwindigkeit von 105 Token/Sekunde bei nur 410 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($2.5/$10 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

GPT-4 Turbo · Strengths & Key Advantages

128K Kontextfenster und bis zu 4K maximale Output-Token (SWE-bench Verified 27.5% · GPQA Diamond 48%)
Hohe Generierungsgeschwindigkeit von 55 Token/Sekunde bei nur 650 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($10/$30 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	GPT-4o	GPT-4 Turbo
Cost per Task Estimated USD to finish one task	$0.68	$0.20
Output Tokens / Task Tokens generated per task	24K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-4o	GPT-4 Turbo
Official API Model ID (SDK)	gpt-4o	gpt-4-turbo
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2024-05	2023-11
Knowledge Cutoff	October 2023	December 2023
Architecture	Omni-Multimodal Dense	Optimized Sparse MoE
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($2.5/1M in) across full 128K window	Flat rate ($10/1M in) across full 128K window
Prompt Cache Policy & TTL	Automatic prefix caching at $1.25/1M (no extra cache-write fee)	Automatic prefix caching at $5/1M (no extra cache-write fee)
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	OpenAI Preparedness Framework Audited & System Card Published	OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision, audio	text, vision
Output Modalities	text, audio	text

GPT-4o vs GPT-4 Turbo: Schnelle Antworten (FAQ)

Which is more intelligent, GPT-4o or GPT-4 Turbo?

GPT-4o is more intelligent. It scores 41 compared with 40 on the composite Intelligence Index.

Which model is faster?

GPT-4o is faster, generating 105 tokens per second compared with 55 tokens per second.

Which model is cheaper to run?

GPT-4o is cheaper at $2.38 per 1M tokens blended, compared with $8.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-4o has lower latency, with a time to first token of 0.41s compared with 0.65s.

Fazit

Sowohl GPT-4o (Optimal für natürliche Sprachsynthese, Echtzeit-Audioverarbeitung und präzise Transkription, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch GPT-4 Turbo (Optimal für zuverlässige Dialogsysteme, Textzusammenfassungen und klassische Enterprise-Aufgaben, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: GPT-4o führt bei komplexem Reasoning und Coding, GPT-4o liefert den höheren Token-Durchsatz und GPT-4o ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – GPT-4o oder GPT-4 Turbo?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt GPT-4o vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von GPT-4o und GPT-4 Turbo?+

GPT-4o kostet $2.50 / $10.00 pro 1M Input-/Output-Tokens, GPT-4 Turbo liegt bei $10.00 / $30.00. Beim gewichteten Gesamtpreis ist GPT-4o günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

GPT-4o bietet 128K Tokens Kontext gegenüber 128K Tokens bei GPT-4 Turbo. Bei der Generierungsgeschwindigkeit liegt GPT-4o vorn.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

GPT-4o vs GPT-4 Turbo

Beliebige Modelle wechseln & vergleichen

GPT-4o

GPT-4 Turbo

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

GPT-4o · Strengths & Key Advantages

Considerations & Trade-offs

GPT-4 Turbo · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

GPT-4o vs GPT-4 Turbo: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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