Head-to-Head Model Comparison

Muse Spark 1.1 vs Claude Opus 4.7

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.

Muse Spark 1.1Profile

Claude Opus 4.7Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Muse Spark 1.1

IA Multimodal Nativa

Muse Spark 1.1 de Meta es un modelo de IA diseñado para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, con ventana de contexto de 1M, velocidad de 105 tokens/s, índice de inteligencia de 90/100 y tarifa de

Intelligence Index90 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

76.5%

Anthropic

Claude Opus 4.7

Modelo Insignia de Frontera

Claude Opus 4.7 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 58 tokens/s, índice de inteligencia de 66/100 y ta

Intelligence Index66 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

79.5%

Diferencias Clave de un Vistazo

Muse Spark 1.1 is 1.7x cheaper for API usage (input + output tokens combined).
Muse Spark 1.1 is faster at 105 tok/s vs 58 tok/s.
Claude Opus 4.7 leads on SWE-bench coding (79.5% vs 76.5%).

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

Característica	Muse Spark 1.1	Claude Opus 4.7
Intelligence Index Composite reasoning & knowledge score (0-100)	90	66
Provider	Meta	Anthropic
Input Price Cost per million input tokens	$3.00 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.31 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	64K	128K
Throughput Speed Tokens generated per second	105 tok/s	58 tok/s
SWE-bench Verified Real-world software engineering	76.5%	79.5%
GPQA Diamond Graduate-level reasoning	83.5%	77.8%
Cached Input Price Prompt caching discount per 1M tokens	$0.30 / 1M	$0.50 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Claude Opus 4.7

+3.0% SWE-bench lead

Costo

Muse Spark 1.1

1.7x cheaper monthly runtime

Velocidad

Muse Spark 1.1

+81% faster generation

Contexto

Tied

1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Muse Spark 1.1Claude Opus 4.7

SWE-bench Verified (Autonomous Coding)

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

76.5%vs79.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

83.5%vs77.8%

MMLU-Pro (Multi-task Language Understanding)

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

88%vs89%

LMSYS Chatbot Arena Elo

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

1495ptsvs1405pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs52.8%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs58 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

Muse Spark 1.10.60s

Claude Opus 4.71.85s

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

Muse Spark 1.15.36s

Claude Opus 4.710.47s

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)

Muse Spark 1.1 Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

Claude Opus 4.7 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

Muse Spark 1.1 saves approximately $12.30 / month (40%) under this workload.1.7x Savings

Muse Spark 1.1 · Strengths & Key Advantages

Ventana de contexto de 1M con hasta 64K tokens de salida máxima (SWE-bench Verified 76.5% · GPQA Diamond 83.5%)
Rendimiento ágil de 105 tokens/segundo con latencia inicial (TTFT) de solo 600 ms
Economía de API competitiva ($3/$15 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

Claude Opus 4.7 · Strengths & Key Advantages

Ventana de contexto de 1M con hasta 128K tokens de salida máxima (SWE-bench Verified 79.5% · GPQA Diamond 77.8%)
Rendimiento ágil de 58 tokens/segundo con latencia inicial (TTFT) de solo 1850 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	Muse Spark 1.1	Claude Opus 4.7
Cost per Task Estimated USD to finish one task	$2.20	$5.49
Output Tokens / Task Tokens generated per task	45K	72K
Reasoning Tokens / Task Thinking tokens burned per task	22K	37K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Muse Spark 1.1	Claude Opus 4.7
Official API Model ID (SDK)	meta-llama/Muse-Spark-1.1	claude-opus-4-7-20260401
API Protocol	Meta REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-04	2026-04
Knowledge Cutoff	January 2026	February 2026
Architecture	Omni-modal native thinking agent architecture	Adaptive Enterprise Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($3/1M in) across full 1000K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.3/1M tokens	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL
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	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) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	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	Meta 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, vision, video, audio	text, vision
Output Modalities	text	text

Muse Spark 1.1 vs Claude Opus 4.7: Respuestas Rápidas (FAQ)

Which is more intelligent, Muse Spark 1.1 or Claude Opus 4.7?

Muse Spark 1.1 is more intelligent. It scores 90 compared with 66 on the composite Intelligence Index.

Which model is faster?

Muse Spark 1.1 is faster, generating 105 tokens per second compared with 58 tokens per second.

Which model is cheaper to run?

Muse Spark 1.1 is cheaper at $2.31 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Muse Spark 1.1 has lower latency, with a time to first token of 0.60s compared with 1.85s.

Veredicto

Tanto Muse Spark 1.1 (Ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas RAG empresariales y automatización mediante API.) como Claude Opus 4.7 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Muse Spark 1.1 lidera en inteligencia general y programación, Muse Spark 1.1 ofrece mayor velocidad de generación de tokens y Muse Spark 1.1 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Muse Spark 1.1 o Claude Opus 4.7?+

En las pruebas de inteligencia compuesta y resolución de código, Muse Spark 1.1 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Muse Spark 1.1 frente a Claude Opus 4.7?+

Muse Spark 1.1 cuesta $3.00 / $15.00 por millón de tokens de entrada/salida, mientras que Claude Opus 4.7 cuesta $5.00 / $25.00. En costo combinado, Muse Spark 1.1 es la opción más económica.

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

Muse Spark 1.1 cuenta con 1M tokens de contexto frente a 1M tokens de Claude Opus 4.7. En velocidad de inferencia, Muse Spark 1.1 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Muse Spark 1.1 vs Claude Opus 4.7

Cambia y Compara Cualquier Modelo

Muse Spark 1.1

Claude Opus 4.7

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Muse Spark 1.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Muse Spark 1.1 vs Claude Opus 4.7: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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