Head-to-Head Model Comparison

Doubao 1.5 Pro vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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Compare Doubao 1.5 Pro by ByteDance against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.

Comparación Directa (VS)

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Popular Matchups:
ByteDance

Doubao 1.5 Pro

Líder en costos

de ByteDance breakthrough comercial costo-leader modelo que ofrece 256K contexto, visión comprensión, y disruptive industry precios.

Intelligence Index82 / 100
Input Token:

$0.11 / 1M

Output Token:

$0.28 / 1M

Context Window:

256K tokens

SWE-bench Verified:

N/A

Google

Gemini 4 Argon

Rey multimodal con salida de 1M

Google de DeepMind insignia de frontera razonamiento motor con 1-millones-token salida limits, autónomo cybersecurity defense, y en tiempo real audio/visión ingesta.

Intelligence Index97 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Diferencias Clave de un Vistazo

  • Doubao 1.5 Pro is 27.6x cheaper for API usage (input + output tokens combined).
  • Gemini 4 Argon has a larger context window (1M vs 256K tokens).
  • Doubao 1.5 Pro is faster at 120 tok/s vs 115 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaDoubao 1.5 ProGemini 4 Argon
Intelligence Index
Composite reasoning & knowledge score (0-100)
8297
Provider
ByteDanceGoogle
Input Price
Cost per million input tokens
$0.11 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.28 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.06 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K1000K
Throughput Speed
Tokens generated per second
120 tok/s115 tok/s
SWE-bench Verified
Real-world software engineering
N/A81.9%
GPQA Diamond
Graduate-level reasoning
63.5%81.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.10 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código

Evaluations ongoing

Costo
Doubao 1.5 Pro
27.6x cheaper monthly runtime
Velocidad
Doubao 1.5 Pro
+4% faster generation
Contexto
Gemini 4 Argon
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Doubao 1.5 ProGemini 4 Argon
SWE-bench Verified (Autonomous Coding)

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

N/Avs81.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

63.5%vs81.5%
MMLU-Pro (Multi-task Language Understanding)

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

79.5%vs90.8%
LMSYS Chatbot Arena Elo

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

1340ptsvs1525pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs18.9%
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs57.4%
SciCode (Scientific Computing)

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

N/Avs56.4%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs80.5%
AIME (Advanced Math Competition)

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

N/Avs94.8%
Long-Context Reasoning

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

N/Avs96.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs115 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
Doubao 1.5 Pro0.34s
Gemini 4 Argon0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Doubao 1.5 Pro4.51s
Gemini 4 Argon5.20s

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)
Doubao 1.5 Pro Monthly API Bill
$0.44 / month
$0.11/1M in · $0.28/1M out
Gemini 4 Argon Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Doubao 1.5 Pro saves approximately $11.71 / month (96%) under this workload.27.6x Savings

Doubao 1.5 Pro · Strengths & Key Advantages

  • Disruptive precios ($0.11 / 1M entrada) que triggered el chino AI precio war
  • Solid 256K ventana de contexto con integrated imagen comprensión
  • Powers TikTok y Douyin automatizado cliente soporte y recommendation feeds
Considerations & Trade-offs
  • Documentation outside de ByteDance Volcengine ecosistema es scarce
  • razonamiento ceiling slightly menor que dedicado de frontera codificación specialists

Gemini 4 Argon · Strengths & Key Advantages

  • Groundbreaking 1,000,000 token maximum salida generación capacidad via largo Decode Continuation
  • 1M-token entrada window con 99.7% GraphWalks recall (84.2% en el 256K-1M range)
  • nativo procesamiento de completo audio, video streams, y visual datos (91.7% en LVBench)
  • Half el token precio de de Anthropic Opus 5.5 y #1 en Chatbot Arena (1525 Elo)
Considerations & Trade-offs
  • masivo token outputs puede incur alto absolute costos if unconstrained (~62K salida tokens por index tarea)
  • $2/$10 precios es un introductory 50% discount; estándar rates revert un $4/$20 once el promotion ends

Token Use & Task Economics

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

MetricDoubao 1.5 ProGemini 4 Argon
Cost per Task
Estimated USD to finish one task
$0.04$2.45
Output Tokens / Task
Tokens generated per task
16K75K
Reasoning Tokens / Task
Thinking tokens burned per task
3K36K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaDoubao 1.5 ProGemini 4 Argon
Official API Model ID (SDK)doubao-1-5-promodels/gemini-4-argon
API ProtocolByteDance REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2025-012026-09
Knowledge CutoffNovember 2024June 2026
ArchitectureHigh-Throughput Multimodal Foundation TransformerPathways Multimodal Sparse Mixture-of-Experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.11/1M in) across full 256K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.015/1M tokensImplicit + Explicit Context Caching at $0.1/1M with configurable TTL
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 & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationVertex AI Supervised Adapter Tuning & Context Distillation
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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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 ClassificationByteDance Production Safety & Alignment VerifiedGoogle DeepMind Frontier Safety Framework Verified
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, audio, video
Output Modalitiestexttext

Doubao 1.5 Pro vs Gemini 4 Argon: Respuestas Rápidas (FAQ)

Which is more intelligent, Doubao 1.5 Pro or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 82 on the composite Intelligence Index.

Which model is faster?

Doubao 1.5 Pro is faster, generating 120 tokens per second compared with 115 tokens per second.

Which model is cheaper to run?

Doubao 1.5 Pro is cheaper at $0.06 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Doubao 1.5 Pro has lower latency, with a time to first token of 0.34s compared with 0.85s.

Which model has a larger context window?

Gemini 4 Argon has a larger context window, supporting 1M tokens compared with 256K tokens.

Veredicto

Choose Doubao 1.5 Pro for grande-escala comercial chatbots, e-commerce cliente soporte, y económico visual qa, or choose Gemini 4 Argon for whole-repositorio generación de código, completo-book síntesis, video comprensión, y multi-hour audio procesamiento.

Preguntas frecuentes

Which is cheaper: Doubao 1.5 Pro or Gemini 4 Argon?+

Doubao 1.5 Pro costs $0.11/1M input and $0.28/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Doubao 1.5 Pro or Gemini 4 Argon?+

Doubao 1.5 Pro supports 256K tokens whereas Gemini 4 Argon supports 1M tokens.

AI Terminology & Guide
Explore Glossary →

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

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: ByteDance & Google Official Documentation