Head-to-Head Model Comparison

Hunyuan Large V2 vs Claude Opus 4.8

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Hunyuan Large V2Profile

Claude Opus 4.8Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Tencent

Hunyuan Large V2

Modelo Insignia de Frontera

Hunyuan Large V2 de Tencent es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 512K, velocidad de 80 tokens/s, índice de inteligencia de 85/100 y t

Intelligence Index85 / 100

Input Token:

$0.70 / 1M

Output Token:

$2.80 / 1M

Context Window:

512K tokens

SWE-bench Verified:

N/A

Anthropic

Claude Opus 4.8

Modelo Insignia de Frontera

Claude Opus 4.8 de Anthropic es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 1M, velocidad de 64 tokens/s, índice de inteligencia de 67/100 y ta

Intelligence Index67 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

80.8%

Diferencias Clave de un Vistazo

Hunyuan Large V2 is 8.4x cheaper for API usage (input + output tokens combined).
Claude Opus 4.8 has a larger context window (1M vs 512K tokens).
Hunyuan Large V2 is faster at 80 tok/s vs 64 tok/s.

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

Característica	Hunyuan Large V2	Claude Opus 4.8
Intelligence Index Composite reasoning & knowledge score (0-100)	85	67
Provider	Tencent	Anthropic
Input Price Cost per million input tokens	$0.70 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$2.80 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.47 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	512K tokens~768 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	16K	128K
Throughput Speed Tokens generated per second	80 tok/s	64 tok/s
SWE-bench Verified Real-world software engineering	N/A	80.8%
GPQA Diamond Graduate-level reasoning	66%	78.9%
Cached Input Price Prompt caching discount per 1M tokens	$0.07 / 1M	$0.50 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Hunyuan Large V2

8.4x cheaper monthly runtime

Velocidad

Hunyuan Large V2

+25% faster generation

Contexto

Claude Opus 4.8

1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Hunyuan Large V2Claude Opus 4.8

SWE-bench Verified (Autonomous Coding)

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

N/Avs80.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

66%vs78.9%

MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs89.6%

LMSYS Chatbot Arena Elo

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

1365ptsvs1420pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs54.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs64 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

Hunyuan Large V20.48s

Claude Opus 4.81.65s

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

Hunyuan Large V26.73s

Claude Opus 4.89.46s

Simulador Interactivo de Costos de Tokens

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)

Hunyuan Large V2 Monthly API Bill

$3.67 / month

$0.7/1M in · $2.8/1M out

Claude Opus 4.8 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

Hunyuan Large V2 saves approximately $27.07 / month (88%) under this workload.8.4x Savings

Hunyuan Large V2 · Strengths & Key Advantages

Ventana de contexto de 512K con hasta 16K tokens de salida máxima (GPQA Diamond 66% · MMLU-Pro 82.5%)
Rendimiento ágil de 80 tokens/segundo con latencia inicial (TTFT) de solo 480 ms
Economía de API competitiva ($0.7/$2.8 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

Claude Opus 4.8 · Strengths & Key Advantages

Ventana de contexto de 1M con hasta 128K tokens de salida máxima (SWE-bench Verified 80.8% · GPQA Diamond 78.9%)
Rendimiento ágil de 64 tokens/segundo con latencia inicial (TTFT) de solo 1650 ms
Economía de API competitiva ($5/$25 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.

Metric	Hunyuan Large V2	Claude Opus 4.8
Cost per Task Estimated USD to finish one task	$0.22	$5.49
Output Tokens / Task Tokens generated per task	22K	72K
Reasoning Tokens / Task Thinking tokens burned per task	7K	37K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Hunyuan Large V2	Claude Opus 4.8
Official API Model ID (SDK)	hunyuan-large-v2	claude-opus-4-8-20260501
API Protocol	Tencent REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-05	2026-05
Knowledge Cutoff	February 2026	March 2026
Architecture	High-Scale Sparse Mixture-of-Experts Transformer	Frontier Hybrid Cognitive Architecture
Parameters	500B total (30B active MoE)	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.7/1M in) across full 512K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.07/1M tokens	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	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	Tencent Production Safety & Alignment Verified	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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	text, vision
Output Modalities	text	text

Hunyuan Large V2 vs Claude Opus 4.8: Respuestas Rápidas (FAQ)

Which is more intelligent, Hunyuan Large V2 or Claude Opus 4.8?

Hunyuan Large V2 is more intelligent. It scores 85 compared with 67 on the composite Intelligence Index.

Which model is faster?

Hunyuan Large V2 is faster, generating 80 tokens per second compared with 64 tokens per second.

Which model is cheaper to run?

Hunyuan Large V2 is cheaper at $0.47 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Hunyuan Large V2 has lower latency, with a time to first token of 0.48s compared with 1.65s.

Which model has a larger context window?

Claude Opus 4.8 has a larger context window, supporting 1M tokens compared with 512K tokens.

Veredicto

Tanto Hunyuan Large V2 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) como Claude Opus 4.8 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Hunyuan Large V2 lidera en inteligencia general y programación, Hunyuan Large V2 ofrece mayor velocidad de generación de tokens y Hunyuan Large V2 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Hunyuan Large V2 o Claude Opus 4.8?+

En las pruebas de inteligencia compuesta y resolución de código, Hunyuan Large V2 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Hunyuan Large V2 frente a Claude Opus 4.8?+

Hunyuan Large V2 cuesta $0.70 / $2.80 por millón de tokens de entrada/salida, mientras que Claude Opus 4.8 cuesta $5.00 / $25.00. En costo combinado, Hunyuan Large V2 es la opción más económica.

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

Hunyuan Large V2 cuenta con 512K tokens de contexto frente a 1M tokens de Claude Opus 4.8. En velocidad de inferencia, Hunyuan Large V2 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Hunyuan Large V2 vs Claude Opus 4.8

Cambia y Compara Cualquier Modelo

Hunyuan Large V2

Claude Opus 4.8

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Hunyuan Large V2 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.8 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Hunyuan Large V2 vs Claude Opus 4.8: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

Related reading