Head-to-Head Model Comparison

Muse Spark 1.1 vs Claude Opus 4.7

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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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

O Muse Spark 1.1 da Meta é um modelo de IA projetado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, oferecendo janela de contexto de 1M, velocidade de 105 tokens/s, índice de inteligência de 90/100 e ta

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 Principal de Fronteira

O Claude Opus 4.7 da Anthropic é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1M, velocidade de 58 tokens/s, índice de inteligência de 66/100

Intelligence Index66 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

79.5%

Principais Diferenças em Resumo

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 →

Feature	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

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Claude Opus 4.7

+3.0% SWE-bench lead

Cost

Muse Spark 1.1

1.7x cheaper monthly runtime

Speed

Muse Spark 1.1

+81% faster generation

Context

Tied

1M tokens window

Pontuações 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

Latência e Tempo de Resposta

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 Interativo de Custo 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

Janela de contexto de 1M com limite máximo de saída de 64K tokens (SWE-bench Verified 76.5% · GPQA Diamond 83.5%)
Taxa de transferência rápida de 105 tokens/segundo com latência inicial (TTFT) de 600 ms
Economia de API competitiva ($3/$15 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

Claude Opus 4.7 · Strengths & Key Advantages

Janela de contexto de 1M com limite máximo de saída de 128K tokens (SWE-bench Verified 79.5% · GPQA Diamond 77.8%)
Taxa de transferência rápida de 58 tokens/segundo com latência inicial (TTFT) de 1850 ms
Economia de API competitiva ($5/$25 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

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

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	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: Respostas 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.

Veredito

Tanto Muse Spark 1.1 (Indicado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude Opus 4.7 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Muse Spark 1.1 lidera em inteligência geral e programação, Muse Spark 1.1 oferece geração mais rápida e Muse Spark 1.1 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Muse Spark 1.1 ou Claude Opus 4.7?+

Nas avaliações de inteligência e código, Muse Spark 1.1 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Muse Spark 1.1 ou Claude Opus 4.7?+

O Muse Spark 1.1 custa $3.00 / $15.00 por 1M de tokens (entrada/saída) e o Claude Opus 4.7 custa $5.00 / $25.00. No custo combinado, Muse Spark 1.1 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Muse Spark 1.1 suporta 1M tokens de contexto contra 1M tokens do Claude Opus 4.7, enquanto Muse Spark 1.1 entrega maior velocidade de geração.

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

Troque e Compare Qualquer Modelo

Muse Spark 1.1

Claude Opus 4.7

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo 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

Especificações Técnicas

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

Veredito

Perguntas Frequentes (FAQ)

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