Model Comparison

DeepSeek R1 Zero vs Muse Spark 1.1Which is better in 2026?

Comparing DeepSeek R1 Zero and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Zero vs Muse Spark 1.1 — which is better?

DeepSeek R1 Zero (by DeepSeek) 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.

Choose DeepSeek R1 Zero if…

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Zero 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

Context Window

Maximum input and output token capacity

Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Muse Spark 1.1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Zero

MIT

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 18 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.5 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.5yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
Meta
Muse Spark 1.1

FAQ

Common questions about DeepSeek R1 Zero vs Muse Spark 1.1.

Which is better, DeepSeek R1 Zero or Muse Spark 1.1?

DeepSeek R1 Zero (DeepSeek) 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 DeepSeek R1 Zero compare to Muse Spark 1.1 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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%.

What are the context window sizes for DeepSeek R1 Zero and Muse Spark 1.1?

DeepSeek R1 Zero supports an unknown number of 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 DeepSeek R1 Zero and Muse Spark 1.1?

Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Muse Spark 1.1?

DeepSeek R1 Zero is developed by DeepSeek and Muse Spark 1.1 is developed by Meta.

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