Head-to-Head Model Comparison

Muse Spark 1.1 vs Claude Opus 4.7

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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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

Nativ Multimodale KI

Muse Spark 1.1 von Meta ist ein KI-Modell für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse mit 1M Kontextfenster, 105 Token/s Durchsatz, einem Intelligenz-Index von 90/100 und $3/$15 pro 1M Token.

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

Frontier-Flaggschiff-Modell

Claude Opus 4.7 von Anthropic ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 1M Kontextfenster, 58 Token/s Durchsatz, einem Intelligenz-Index von 66/100 und $5/$25 pro 1M Toke

Intelligence Index66 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

79.5%

Wichtigste Unterschiede auf einen Blick

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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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

1M Kontextfenster und bis zu 64K maximale Output-Token (SWE-bench Verified 76.5% · GPQA Diamond 83.5%)
Hohe Generierungsgeschwindigkeit von 105 Token/Sekunde bei nur 600 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($3/$15 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Claude Opus 4.7 · Strengths & Key Advantages

1M Kontextfenster und bis zu 128K maximale Output-Token (SWE-bench Verified 79.5% · GPQA Diamond 77.8%)
Hohe Generierungsgeschwindigkeit von 58 Token/Sekunde bei nur 1850 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($5/$25 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl Muse Spark 1.1 (Optimal für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Claude Opus 4.7 (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Muse Spark 1.1 führt bei komplexem Reasoning und Coding, Muse Spark 1.1 liefert den höheren Token-Durchsatz und Muse Spark 1.1 ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Muse Spark 1.1 oder Claude Opus 4.7?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Muse Spark 1.1 vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Muse Spark 1.1 und Claude Opus 4.7?+

Muse Spark 1.1 kostet $3.00 / $15.00 pro 1M Input-/Output-Tokens, Claude Opus 4.7 liegt bei $5.00 / $25.00. Beim gewichteten Gesamtpreis ist Muse Spark 1.1 günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Muse Spark 1.1 bietet 1M Tokens Kontext gegenüber 1M Tokens bei Claude Opus 4.7. Bei der Generierungsgeschwindigkeit liegt Muse Spark 1.1 vorn.

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

Beliebige Modelle wechseln & vergleichen

Muse Spark 1.1

Claude Opus 4.7

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Muse Spark 1.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Muse Spark 1.1 vs Claude Opus 4.7: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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