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Head-to-Head Model Comparison

GPT-5.2 vs GPT-5.1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT-5.2 vs GPT-5.1: Benchmarks, Pricing & Speed Comparison

GPT-5.2 de OpenAI y GPT-5.1 de OpenAI compiten directamente en el ecosistema actual de IA. GPT-5.2 ofrece una ventana de contexto de 400K tokens a $1.75/$14.00 por millón de tokens (entrada/salida), mientras que GPT-5.1 ofrece 400K tokens de contexto a $1.25/$10.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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OpenAI

GPT-5.2

Modelo Insignia de Frontera

GPT-5.2 de OpenAI es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 400K, velocidad de 128 tokens/s, índice de inteligencia de 65/100 y tarifa de

Intelligence Index65 / 100
Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

76.5%

OpenAI

GPT-5.1

Modelo Insignia de Frontera

GPT-5.1 de OpenAI es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 400K, velocidad de 130 tokens/s, índice de inteligencia de 60/100 y tarifa de

Intelligence Index60 / 100
Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.9%

Diferencias Clave de un Vistazo

  • GPT-5.1 is 1.4x cheaper for API usage (input + output tokens combined).
  • GPT-5.1 is faster at 130 tok/s vs 128 tok/s.
  • GPT-5.2 leads on SWE-bench coding (76.5% vs 74.9%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaGPT-5.2GPT-5.1
Intelligence Index
Composite reasoning & knowledge score (0-100)
6560
Provider
OpenAIOpenAI
Input Price
Cost per million input tokens
$1.75 / 1M$1.25 / 1M
Output Price
Cost per million output tokens
$14.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.87 / 1M$1.34 / 1M
Context Window
Maximum input + output tokens
400K tokens~600 A4 pages of text400K tokens~600 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
128 tok/s130 tok/s
SWE-bench Verified
Real-world software engineering
76.5%74.9%
GPQA Diamond
Graduate-level reasoning
77.8%72.1%
Cached Input Price
Prompt caching discount per 1M tokens
$0.17 / 1M$0.13 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
GPT-5.2
+1.6% SWE-bench lead
Costo
GPT-5.1
1.4x cheaper monthly runtime
Velocidad
GPT-5.1
+2% faster generation
Contexto
Tied
400K tokens window

Puntuaciones de Benchmarks Verificadas

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

GPT-5.2GPT-5.1
SWE-bench Verified (Autonomous Coding)

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

76.5%vs74.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

77.8%vs72.1%
MMLU-Pro (Multi-task Language Understanding)

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

87.2%vs86.1%
LMSYS Chatbot Arena Elo

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

1388ptsvs1368pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

13.6%vs12.1%
Terminal-Bench (Agentic Coding & Terminal Use)

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

50%vs46.7%
SciCode (Scientific Computing)

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

46.5%vs43.2%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

74.8%vs71.8%
AIME (Advanced Math Competition)

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

93.4%vs91.2%
Long-Context Reasoning

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

81.5%vs77.9%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

128 tok/s vs130 tok/s

Latencia y Tiempo de Respuesta

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-5.21.12s
GPT-5.11.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-5.25.03s
GPT-5.15.05s

Simulador Interactivo de Costos de Tokens

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
GPT-5.2 Monthly API Bill
$15.49 / month
$1.75/1M in · $14/1M out
GPT-5.1 Monthly API Bill
$11.06 / month
$1.25/1M in · $10/1M out
GPT-5.1 saves approximately $4.43 / month (29%) under this workload.1.4x Savings

GPT-5.2 · Strengths & Key Advantages

  • Ventana de contexto de 400K con hasta 128K tokens de salida máxima (SWE-bench Verified 76.5% · GPQA Diamond 77.8%)
  • Rendimiento ágil de 128 tokens/segundo con latencia inicial (TTFT) de solo 1120 ms
  • Economía de API competitiva ($1.75/$14 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas
Considerations & Trade-offs
  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

GPT-5.1 · Strengths & Key Advantages

  • Ventana de contexto de 400K con hasta 128K tokens de salida máxima (SWE-bench Verified 74.9% · GPQA Diamond 72.1%)
  • Rendimiento ágil de 130 tokens/segundo con latencia inicial (TTFT) de solo 1200 ms
  • Economía de API competitiva ($1.25/$10 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas
Considerations & Trade-offs
  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

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

MetricGPT-5.2GPT-5.1
Cost per Task
Estimated USD to finish one task
$2.05$1.45
Output Tokens / Task
Tokens generated per task
57K52K
Reasoning Tokens / Task
Thinking tokens burned per task
31K28K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaGPT-5.2GPT-5.1
Official API Model ID (SDK)gpt-5-2gpt-5-1
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI Responses API & Chat Completions v1
Release Date2025-122025-11
Knowledge CutoffAugust 2025October 2024
ArchitectureUnified reasoning model (Instant / Thinking / Pro modes)Unified Reasoning (Instant & Thinking)
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1.75/1M in) across full 400K windowFlat rate ($1.25/1M in) across full 400K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0.175/1M (no extra cache-write fee)Automatic prefix caching at $0.125/1M (no extra cache-write fee)
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

GPT-5.2 vs GPT-5.1: Respuestas Rápidas (FAQ)

Which is more intelligent, GPT-5.2 or GPT-5.1?

GPT-5.2 is more intelligent. It scores 65 compared with 60 on the composite Intelligence Index.

Which model is faster?

GPT-5.1 is faster, generating 130 tokens per second compared with 128 tokens per second.

Which model is cheaper to run?

GPT-5.1 is cheaper at $1.34 per 1M tokens blended, compared with $1.87 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.2 has lower latency, with a time to first token of 1.12s compared with 1.20s.

Veredicto

Tanto GPT-5.2 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) como GPT-5.1 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: GPT-5.2 lidera en inteligencia general y programación, GPT-5.1 ofrece mayor velocidad de generación de tokens y GPT-5.1 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, GPT-5.2 o GPT-5.1?+

En las pruebas de inteligencia compuesta y resolución de código, GPT-5.2 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de GPT-5.2 frente a GPT-5.1?+

GPT-5.2 cuesta $1.75 / $14.00 por millón de tokens de entrada/salida, mientras que GPT-5.1 cuesta $1.25 / $10.00. En costo combinado, GPT-5.1 es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

GPT-5.2 cuenta con 400K tokens de contexto frente a 400K tokens de GPT-5.1. En velocidad de inferencia, GPT-5.1 ofrece un rendimiento superior.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Documentación oficial de API de OpenAI y OpenAI, tarjetas de sistema y benchmarks independientes (2026).