Head-to-Head Model Comparison

Muse Spark 1.1 vs Claude Opus 4.7

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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 Multimodale Nativa

Muse Spark 1.1 di Meta è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 1M, velocità di 105 token/s, indice di intelligenza di 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

Modello Ammiraglia di Frontiera

Claude Opus 4.7 di Anthropic è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1M, velocità di 58 token/s, indice di intelligenza di 6

Intelligence Index66 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

79.5%

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni 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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

Finestra di contesto da 1M con capacità massima di output fino a 64K token (SWE-bench Verified 76.5% · GPQA Diamond 83.5%)
Throughput elevato di 105 token/secondo con latenza al primo token (TTFT) di soli 600 ms
Economia API competitiva ($3/$15 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Claude Opus 4.7 · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 79.5% · GPQA Diamond 77.8%)
Throughput elevato di 58 token/secondo con latenza al primo token (TTFT) di soli 1850 ms
Economia API competitiva ($5/$25 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Muse Spark 1.1 (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude Opus 4.7 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Muse Spark 1.1 guida nei benchmark di ragionamento e programmazione, Muse Spark 1.1 garantisce una generazione più rapida e Muse Spark 1.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Muse Spark 1.1 o Claude Opus 4.7?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Muse Spark 1.1. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Muse Spark 1.1 e Claude Opus 4.7?+

Muse Spark 1.1 costa $3.00 / $15.00 per milione di token di input/output, mentre Claude Opus 4.7 costa $5.00 / $25.00. Nel costo combinato, Muse Spark 1.1 risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Muse Spark 1.1 supporta 1M token di contesto contro 1M token di Claude Opus 4.7, mentre Muse Spark 1.1 offre una velocità di generazione superiore.

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 e Confronta Qualsiasi Modello

Muse Spark 1.1

Claude Opus 4.7

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Muse Spark 1.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Muse Spark 1.1 vs Claude Opus 4.7: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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