The AI arena is free today

Open Superagent

ERNIE 4.5 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.4 to -13.4. Muse Spark 1.3 is 10.4x cheaper per token.

Baidu · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to -13.4, ranking #6 overall.

On price, Muse Spark 1.3 is roughly 10.4x 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 ERNIE 4.5

  • you want predictable pricing at $0.40/M input and $4.00/M output

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.4 and ranks #6 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 10.4x 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 Sep 2026

At a glance

The differences that matter most.

ERNIE 4.5
Baidu
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
-13.4
#368
54.4
#6
Reasoning
-13.4
#362
51.8
#7
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
$0.10 / M
Output price
$4.00 / M
$0.20 / M
Context window
128,000
1,048,576

Individual benchmarks

20 reported for ERNIE 4.5 · 11 for Muse Spark 1.3

No common benchmarks found

ERNIE 4.5 and Muse Spark 1.3don'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

Muse Spark 1.3 costs less

For input processing, ERNIE 4.5 ($0.40/1M tokens) is 4.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, ERNIE 4.5 ($4.00/1M tokens) is 20.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, ERNIE 4.5 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
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 ERNIE 4.5's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while ERNIE 4.5 is limited to 65,536 tokens.

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas ERNIE 4.5 does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Muse Spark 1.3

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.

ERNIE 4.5

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 14 months newer than ERNIE 4.5.

ERNIE 4.5

Jun 25, 2025

1.2 years ago

Muse Spark 1.3

Sep 2, 2026

1 weeks ago

1.2yr 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

ERNIE 4.5 is available from Novita. Muse Spark 1.3 is available from Meta Model API.

ERNIE 4.5

novita logo
Novita
Input Price:Input: $0.40/1MOutput Price:Output: $4.00/1M

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* 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 ERNIE 4.5 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

ERNIE 4.5
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about ERNIE 4.5 vs Muse Spark 1.3.

Which is better, ERNIE 4.5 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.4 to -13.4. ERNIE 4.5 is made by Baidu and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does ERNIE 4.5 compare to Muse Spark 1.3 in benchmarks?

ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. 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%.

Is ERNIE 4.5 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 4.0x cheaper for input tokens. ERNIE 4.5 costs $0.40/M input and $4.00/M output via novita. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for ERNIE 4.5 and Muse Spark 1.3?

ERNIE 4.5 supports 128K tokens and Muse Spark 1.3 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 ERNIE 4.5 and Muse Spark 1.3?

Key differences include LLM Stats Score (-13.4 vs 54.4), context window (128K vs 1.0M), input pricing ($0.40 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 4.5 and Muse Spark 1.3?

ERNIE 4.5 is developed by Baidu and Muse Spark 1.3 is developed by Meta.

Related comparisons