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Muse Spark 1.3 vs Seed 2.0 Pro

Muse Spark 1.3 leads the LLM Stats Score 54.0 to 39.5. Seed 2.0 Pro is 1.8x cheaper per token.

Meta · ByteDance · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.0 to 39.5, ranking #7 overall.

On price, Seed 2.0 Pro is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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 1.3

  • overall performance matters — it scores 54.0 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Seed 2.0 Pro

  • cost matters — it's about 1.8x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
54.0
#7
39.5
#60
51.4
#9
39.0
#59
41.7
#11
22.0
#86
39.8
#6
16.8
#80
Cost, coverage & limits
Benchmark wins
Input price
$1.25 / M
$0.50 / M
Output price
$4.25 / M
$3.00 / M
Context window
1,048,576
256,000

Individual benchmarks

11 reported for Muse Spark 1.3 · 6 for Seed 2.0 Pro

No common benchmarks found

Muse Spark 1.3 and Seed 2.0 Prodon'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

Pricing Analysis

Price comparison per million tokens

Seed 2.0 Pro costs less

For input processing, Muse Spark 1.3 ($1.25/1M tokens) is 2.5x more expensive than Seed 2.0 Pro ($0.50/1M tokens).

For output processing, Muse Spark 1.3 ($4.25/1M tokens) is 1.4x more expensive than Seed 2.0 Pro ($3.00/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than Seed 2.0 Pro.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
ByteDance
Seed 2.0 Pro
Input tokens$0.50
Output tokens$3.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Seed 2.0 Pro's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Seed 2.0 Pro is limited to 131,072 tokens.

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
ByteDance
Seed 2.0 Pro
Input256,000 tokens
Output131,072 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and Seed 2.0 Pro support multimodal inputs.

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

Muse Spark 1.3

Text
Images
Audio
Video

Seed 2.0 Pro

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.

Muse Spark 1.3

Proprietary

Closed source

Seed 2.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Seed 2.0 Pro was released on 2026-02-14.

Muse Spark 1.3 is 7 months newer than Seed 2.0 Pro.

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

6mo newer
Seed 2.0 Pro

Feb 14, 2026

7 months ago

Knowledge Cutoff

When training data ends

Seed 2.0 Pro has a documented knowledge cutoff of 2024-01-01, while Muse Spark 1.3's cutoff date is not specified.

We can confirm Seed 2.0 Pro's training data extends to 2024-01-01, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

Muse Spark 1.3

Seed 2.0 Pro

Jan 2024

Provider Availability

Muse Spark 1.3 is available from Meta Model API. Seed 2.0 Pro is available from DeepInfra.

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Seed 2.0 Pro

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and Seed 2.0 Pro side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Seed 2.0 Pro
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Seed 2.0 Pro.

Which is better, Muse Spark 1.3 or Seed 2.0 Pro?

Muse Spark 1.3 leads the LLM Stats Score 54.0 to 39.5. Muse Spark 1.3 is made by Meta and Seed 2.0 Pro is made by ByteDance. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark 1.3 compare to Seed 2.0 Pro in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%. Seed 2.0 Pro scores AIME 2025: 98.3%, AIME 2026: 94.2%, GPQA: 88.9%, LiveCodeBench v6: 87.8%, BrowseComp: 77.3%.

Is Muse Spark 1.3 cheaper than Seed 2.0 Pro?

Seed 2.0 Pro is 2.5x cheaper for input tokens. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta. Seed 2.0 Pro costs $0.50/M input and $3.00/M output via deepinfra.

What are the context window sizes for Muse Spark 1.3 and Seed 2.0 Pro?

Muse Spark 1.3 supports 1.0M tokens and Seed 2.0 Pro supports 256K 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 1.3 and Seed 2.0 Pro?

Key differences include LLM Stats Score (54.0 vs 39.5), context window (1.0M vs 256K), input pricing ($1.25 vs $0.50/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Seed 2.0 Pro?

Muse Spark 1.3 is developed by Meta and Seed 2.0 Pro is developed by ByteDance.