Model Comparison

Claude Opus 4 vs Muse Spark 1.1Which is better in 2026?

Comparing Claude Opus 4 and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Claude Opus 4 vs Muse Spark 1.1 — which is better?

Claude Opus 4 (by Anthropic) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Muse Spark 1.1 is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude Opus 4 if…

  • you want predictable pricing at $15.00/M input and $75.00/M output

Choose Muse Spark 1.1 if…

  • cost matters — it's about 15.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude Opus 4 and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.1 costs less

For input processing, Claude Opus 4 ($15.00/1M tokens) is 12.0x more expensive than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Claude Opus 4 ($75.00/1M tokens) is 17.6x more expensive than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Claude Opus 4 is more expensive than Muse Spark 1.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 20 2026 • llm-stats.com
Anthropic
Claude Opus 4
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to Claude Opus 4's 200,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Claude Opus 4 is limited to 32,000 tokens.

Anthropic
Claude Opus 4
Input200,000 tokens
Output32,000 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Mon Jul 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4 and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Opus 4

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude Opus 4

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Opus 4 was released on 2025-05-22, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 14 months newer than Claude Opus 4.

Claude Opus 4

May 22, 2025

1.2 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude Opus 4 is available from Anthropic, Bedrock, Google. Muse Spark 1.1 is available from Meta Model API.

Claude Opus 4

anthropic logo
Anthropic
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
google logo
Google
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic

No standout differentiators in the data we have for this pair.

Meta
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
AnthropicClaude Opus 4
MetaMuse Spark 1.1
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Claude Opus 4 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Claude Opus 4
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Anthropic
Claude Opus 4
Meta
Muse Spark 1.1

FAQ

Common questions about Claude Opus 4 vs Muse Spark 1.1.

Which is better, Claude Opus 4 or Muse Spark 1.1?

Claude Opus 4 (Anthropic) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude Opus 4 compare to Muse Spark 1.1 in benchmarks?

Claude Opus 4 scores MMMLU: 88.8%, TAU-bench Retail: 81.4%, GPQA: 79.6%, MMMU (validation): 76.5%, AIME 2025: 75.5%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Claude Opus 4 cheaper than Muse Spark 1.1?

Muse Spark 1.1 is 12.0x cheaper for input tokens. Claude Opus 4 costs $15.00/M input and $75.00/M output via anthropic. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Claude Opus 4 and Muse Spark 1.1?

Claude Opus 4 supports 200K tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Opus 4 and Muse Spark 1.1?

Key differences include context window (200K vs 1.0M), input pricing ($15.00 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4 and Muse Spark 1.1?

Claude Opus 4 is developed by Anthropic and Muse Spark 1.1 is developed by Meta.

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