Head-to-Head Model Comparison

GPT-5.1 Codex vs GPT-5.1 Codex mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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GPT-5.1 CodexProfile

GPT-5.1 Codex miniProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.1 Codex

Amiral Gemisi Öncü Model

OpenAI tarafından geliştirilen GPT-5.1 Codex; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 400K bağlam penceresi, 125 token/sn hız, 61/100 zeka indeksi ve 1M token başına $1.25/$10 fi

Intelligence Index61 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

76.1%

OpenAI

GPT-5.1 Codex mini

Hafif ve Ekonomik Model

OpenAI tarafından geliştirilen GPT-5.1 Codex mini; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 400K bağlam penceresi, 180 token/sn hız, 47/100 zeka indeksi ve 1M token başına $0.25/$2 fiyatlandır

Intelligence Index47 / 100

Input Token:

$0.25 / 1M

Output Token:

$2.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

55.5%

Bir Bakışta Temel Farklar

GPT-5.1 Codex mini is 5.0x cheaper for API usage (input + output tokens combined).
GPT-5.1 Codex mini is faster at 180 tok/s vs 125 tok/s.
GPT-5.1 Codex leads on SWE-bench coding (76.1% vs 55.5%).

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

Feature	GPT-5.1 Codex	GPT-5.1 Codex mini
Intelligence Index Composite reasoning & knowledge score (0-100)	61	47
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$1.25 / 1M	$0.25 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$2.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.34 / 1M	$0.27 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	400K tokens~600 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	125 tok/s	180 tok/s
SWE-bench Verified Real-world software engineering	76.1%	55.5%
GPQA Diamond Graduate-level reasoning	78.5%	66.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.13 / 1M	$0.03 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

GPT-5.1 Codex

+20.6% SWE-bench lead

Cost

GPT-5.1 Codex mini

5.0x cheaper monthly runtime

Speed

GPT-5.1 Codex mini

+44% faster generation

Context

Tied

400K tokens window

Doğrulanmış Benchmark Puanları

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

GPT-5.1 CodexGPT-5.1 Codex mini

SWE-bench Verified (Autonomous Coding)

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

76.1%vs55.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.5%vs66.5%

MMLU-Pro (Multi-task Language Understanding)

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

86.5%vs79%

LMSYS Chatbot Arena Elo

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

1372ptsvs1320pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

12.6%vs9.4%

Terminal-Bench (Agentic Coding & Terminal Use)

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

52%vs32%

SciCode (Scientific Computing)

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

46.5%vs33%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

74%vs58%

AIME (Advanced Math Competition)

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

91.8%vs84.5%

Long-Context Reasoning

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

78.5%vs69%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

125 tok/s vs180 tok/s

Gecikme Süresi ve Yanıt Hızı

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-5.1 Codex1.20s

GPT-5.1 Codex mini0.72s

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

GPT-5.1 Codex5.20s

GPT-5.1 Codex mini3.50s

Gerçek Zamanlı Token Maliyet Simülatörü

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-5.1 Codex Monthly API Bill

$11.06 / month

$1.25/1M in · $10/1M out

GPT-5.1 Codex mini Monthly API Bill

$2.21 / month

$0.25/1M in · $2/1M out

GPT-5.1 Codex mini saves approximately $8.85 / month (80%) under this workload.5.0x Savings

GPT-5.1 Codex · Strengths & Key Advantages

400K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 76.1% · GPQA Diamond 78.5%)
Sadece 1200 ms ilk token gecikmesi (TTFT) ile saniyede 125 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.25/$10 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

GPT-5.1 Codex mini · Strengths & Key Advantages

400K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 55.5% · GPQA Diamond 66.5%)
Sadece 720 ms ilk token gecikmesi (TTFT) ile saniyede 180 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.25/$2 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

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

Metric	GPT-5.1 Codex	GPT-5.1 Codex mini
Cost per Task Estimated USD to finish one task	$1.65	$0.33
Output Tokens / Task Tokens generated per task	58K	48K
Reasoning Tokens / Task Thinking tokens burned per task	33K	23K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.1 Codex	GPT-5.1 Codex mini
Official API Model ID (SDK)	gpt-5-1-codex	gpt-5-1-codex-mini
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2025-11	2025-11
Knowledge Cutoff	October 2024	October 2024
Architecture	Code-specialised unified reasoning model	Compact code-specialised reasoning model
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 ($1.25/1M in) across full 400K window	Flat rate ($0.25/1M in) across full 400K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.125/1M (no extra cache-write fee)	Automatic prefix caching at $0.025/1M (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)	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	text, vision
Output Modalities	text	text

GPT-5.1 Codex vs GPT-5.1 Codex mini: Hızlı Yanıtlar (SSS)

Which is more intelligent, GPT-5.1 Codex or GPT-5.1 Codex mini?

GPT-5.1 Codex is more intelligent. It scores 61 compared with 47 on the composite Intelligence Index.

Which model is faster?

GPT-5.1 Codex mini is faster, generating 180 tokens per second compared with 125 tokens per second.

Which model is cheaper to run?

GPT-5.1 Codex mini is cheaper at $0.27 per 1M tokens blended, compared with $1.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.1 Codex mini has lower latency, with a time to first token of 0.72s compared with 1.20s.

Sonuç

Hem GPT-5.1 Codex (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-5.1 Codex mini (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: GPT-5.1 Codex karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-5.1 Codex mini daha yüksek üretim hızı sağlar; GPT-5.1 Codex mini ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-5.1 Codex mi yoksa GPT-5.1 Codex mini mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT-5.1 Codex önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-5.1 Codex ve GPT-5.1 Codex mini API fiyatları nasıl karşılaştırılır?+

GPT-5.1 Codex 1M giriş/çıkış tokeni başına $1.25 / $10.00 ücretlendirilirken, GPT-5.1 Codex mini $0.25 / $2.00 seviyesindedir. Karma maliyette GPT-5.1 Codex mini daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

GPT-5.1 Codex 400K token bağlam penceresi sunarken GPT-5.1 Codex mini 400K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-5.1 Codex mini öndedir.

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-5.1 Codex vs GPT-5.1 Codex mini

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-5.1 Codex

GPT-5.1 Codex mini

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-5.1 Codex · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.1 Codex mini · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-5.1 Codex vs GPT-5.1 Codex mini: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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