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Head-to-Head Model Comparison

DeepSeek V3 vs GPT-4o

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
DeepSeek V3 vs GPT-4o: Benchmarks, Pricing & Speed Comparison

DeepSeek V3 de DeepSeek y GPT-4o de OpenAI compiten directamente en el ecosistema actual de IA. DeepSeek V3 ofrece una ventana de contexto de 128K tokens a $0.27/$1.10 por millón de tokens (entrada/salida), mientras que GPT-4o ofrece 128K tokens de contexto a $2.50/$10.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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Popular Matchups:DeepSeek V3 vs GPT-4o
DeepSeek

DeepSeek V3

Modelo Base de Pesos Abiertos

DeepSeek V3 de DeepSeek es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 128K, velocidad de 60 tokens/s, índice de inteligencia de 44/100 y ta

Intelligence Index44 / 100
Input Token:

$0.27 / 1M

Output Token:

$1.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

49.2%

OpenAI

GPT-4o

Modelo de Voz y Audio Nativo

GPT-4o de OpenAI es un modelo de IA diseñado para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, con ventana de contexto de 128K, velocidad de 105 tokens/s, índice de inteligencia de 41/100 y tarifa

Intelligence Index41 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38.8%

Diferencias Clave de un Vistazo

  • DeepSeek V3 is 9.8x cheaper for API usage (input + output tokens combined).
  • GPT-4o is faster at 105 tok/s vs 60 tok/s.
  • DeepSeek V3 leads on SWE-bench coding (49.2% vs 38.8%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaDeepSeek V3GPT-4o
Intelligence Index
Composite reasoning & knowledge score (0-100)
4441
Provider
DeepSeekOpenAI
Input Price
Cost per million input tokens
$0.27 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$1.10 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.21 / 1M$2.38 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
60 tok/s105 tok/s
SWE-bench Verified
Real-world software engineering
49.2%38.8%
GPQA Diamond
Graduate-level reasoning
59.1%53.6%
Cached Input Price
Prompt caching discount per 1M tokens
$0.07 / 1M$1.25 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
DeepSeek V3
+10.4% SWE-bench lead
Costo
DeepSeek V3
9.8x cheaper monthly runtime
Velocidad
GPT-4o
+75% faster generation
Contexto
Tied
128K tokens window

Puntuaciones de Benchmarks Verificadas

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

DeepSeek V3GPT-4o
SWE-bench Verified (Autonomous Coding)

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

49.2%vs38.8%
GPQA Diamond (Doctorate-Level Science & Math)

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

59.1%vs53.6%
MMLU-Pro (Multi-task Language Understanding)

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

75.9%vs72.6%
LMSYS Chatbot Arena Elo

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

1300ptsvs1286pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

9.5%vs4.1%
Terminal-Bench (Agentic Coding & Terminal Use)

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

32.5%vs18.5%
SciCode (Scientific Computing)

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

29.5%vs27.3%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

51.7%vs43.9%
AIME (Advanced Math Competition)

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

68%vs29.7%
Long-Context Reasoning

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

68.3%vs58.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

60 tok/s vs105 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
DeepSeek V30.68s
GPT-4o0.41s
Est. End-to-End Response (500 tokens)TTFT + generation time
DeepSeek V39.01s
GPT-4o5.17s

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)
DeepSeek V3 Monthly API Bill
$1.50 / month
$0.27/1M in · $1.1/1M out
GPT-4o Monthly API Bill
$14.63 / month
$2.5/1M in · $10/1M out
DeepSeek V3 saves approximately $13.13 / month (90%) under this workload.9.8x Savings

DeepSeek V3 · Strengths & Key Advantages

  • Ventana de contexto de 128K con hasta 8K tokens de salida máxima (SWE-bench Verified 49.2% · GPQA Diamond 59.1%)
  • Rendimiento ágil de 60 tokens/segundo con latencia inicial (TTFT) de solo 680 ms
  • Pesos abiertos (671B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama
Considerations & Trade-offs
  • Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

GPT-4o · Strengths & Key Advantages

  • Ventana de contexto de 128K con hasta 16K tokens de salida máxima (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
  • Rendimiento ágil de 105 tokens/segundo con latencia inicial (TTFT) de solo 410 ms
  • Economía de API competitiva ($2.5/$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 volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Token Use & Task Economics

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

MetricDeepSeek V3GPT-4o
Cost per Task
Estimated USD to finish one task
$0.14$0.68
Output Tokens / Task
Tokens generated per task
45K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaDeepSeek V3GPT-4o
Official API Model ID (SDK)deepseek-chatgpt-4o
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI Responses API & Chat Completions v1
Release Date2024-122024-05
Knowledge CutoffJuly 2024October 2023
Architecture671B Mixture-of-Experts (37B active)Omni-Multimodal Dense
Parameters671BConfidential
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.27/1M in) across full 128K windowFlat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0.07/1M (no extra cache-write fee)Automatic prefix caching at $1.25/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)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 & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 416 GB VRAM (4-bit Quantized) · 1443 GB VRAM (Native BF16)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 ControlSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision, audio
Output Modalitiestexttext, audio

DeepSeek V3 vs GPT-4o: Respuestas Rápidas (FAQ)

Which is more intelligent, DeepSeek V3 or GPT-4o?

DeepSeek V3 is more intelligent. It scores 44 compared with 41 on the composite Intelligence Index.

Which model is faster?

GPT-4o is faster, generating 105 tokens per second compared with 60 tokens per second.

Which model is cheaper to run?

DeepSeek V3 is cheaper at $0.21 per 1M tokens blended, compared with $2.38 (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 0.68s.

Veredicto

Tanto DeepSeek V3 (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) como GPT-4o (Ideal para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, sistemas RAG empresariales y automatización mediante API.) destacan en producción: DeepSeek V3 lidera en inteligencia general y programación, GPT-4o ofrece mayor velocidad de generación de tokens y DeepSeek V3 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, DeepSeek V3 o GPT-4o?+

En las pruebas de inteligencia compuesta y resolución de código, DeepSeek V3 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de DeepSeek V3 frente a GPT-4o?+

DeepSeek V3 cuesta $0.27 / $1.10 por millón de tokens de entrada/salida, mientras que GPT-4o cuesta $2.50 / $10.00. En costo combinado, DeepSeek V3 es la opción más económica.

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

DeepSeek V3 cuenta con 128K tokens de contexto frente a 128K tokens de GPT-4o. En velocidad de inferencia, GPT-4o 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 DeepSeek y OpenAI, tarjetas de sistema y benchmarks independientes (2026).