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Muse Spark Open vs Parse

Comparing Muse Spark Open and Parse across benchmarks, pricing, and capabilities.

Meta · Cohere · Updated for 2026

Which is better?

Muse Spark Open and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Spark Open

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
8,192

Individual benchmarks

17 reported for Muse Spark Open · 1 for Parse

No common benchmarks found

Muse Spark Open and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

813.7B diff

Muse Spark Open has 813.7B more parameters than Parse, making it 35378.3% larger.

Meta
Muse Spark Open
816.0Bparameters
Cohere
Parse
2.3Bparameters
816.0B
Muse Spark Open
2.3B
Parse

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to Parse's 8,192 tokens. Only Muse Spark Open specifies output context (1,048,576 tokens).

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and Parse support multimodal inputs.

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

Muse Spark Open

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Parse uses a proprietary license.

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

Muse Spark Open

Muse Model License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Parse was released on 2026-08-27.

Muse Spark Open is 2 months newer than Parse.

Muse Spark Open

Oct 15, 2026

4 days ago

1mo newer
Parse

Aug 27, 2026

1 months ago

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

Muse Spark Open is available from Together. Parse is available from Azure, Cohere.

Muse Spark Open

together logo
Together
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and Parse side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Muse Spark Open vs Parse.

Which is better, Muse Spark Open or Parse?

Muse Spark Open (Meta) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Spark Open compare to Parse in benchmarks?

Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Muse Spark Open and Parse?

Muse Spark Open supports 1.0M tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark Open and Parse?

Key differences include context window (1.0M vs 8K), licensing (Muse Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and Parse?

Muse Spark Open is developed by Meta and Parse is developed by Cohere.