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Decision support

ERNIE-Light-DT-1.0 vs Muse Spark 1.3

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

ModelsHardware
ERNIE-Light-DT-1.0

Baidu

Sources:OpenRouter

Muse Spark 1.3

Meta

Sources:models.devOpenRouter

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      1496
      Arena #11CI 1491 to 1501
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • max149695% CI 1491 to 1501 · 26,111 votes
    Source:Arena Text leaderboard, 2026-11-09

  • Arena WebDev

    Arena rating · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      1655
      Arena #20CI 1648 to 1662
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • xhigh162095% CI 1613 to 1627 · 11,653 votes
    • max165595% CI 1648 to 1662 · 12,122 votes
    Source:Arena WebDev leaderboard, 2026-11-10

  • Arena Vision

    Arena rating · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      1291
      Arena #13CI 1283 to 1300
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • xhigh128895% CI 1280 to 1296 · 7,522 votes
    • max129195% CI 1283 to 1300 · 7,683 votes
    Source:Arena Vision leaderboard, 2026-11-09

  • Arena Document

    Arena rating · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      1474
      Arena #16CI 1466 to 1482
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • max147495% CI 1466 to 1482 · 7,205 votes
    Source:Arena Document leaderboard, 2026-11-09

  • Agent Arena

    IPS score · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      +0.022
      Arena #21CI +0.013 to +0.030
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • max+0.02295% CI +0.013 to +0.030 · 8,894,242 observations
    Source:Agent Arena leaderboard, 2026-11-11

  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      46.3%
      #23 of 72
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • xhigh41.5%
    • max46.3%
    Source:Epoch AI evaluation

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      74.4%
      #24 of 87
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • xhigh74.4%
    • max74.0%
    Source:Epoch AI evaluation

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • ERNIE-Light-DT-1.0
      Not reported
    • Muse Spark 1.3
      99.2%
      #17 of 158
    Runs and sources
    ERNIE-Light-DT-1.0

    Not reported

    Muse Spark 1.3
    • xhigh99.2%
    Source:Epoch AI evaluation

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
November 10, 2026
September 2, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
131,072
943,718
Knowledge cutoff
—
—
Open weights
Unknown
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$1.13
$1.25
Output
$3.94
$4.25
Cached input
$0.113
$0.15
Cache write
—
—

Capabilities and modalities

Input modalities
text
text, image, video, file
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, structured_outputs, temperature, tool_choice, tools, top_p
include_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
1
2
Provider endpoints
1
2
Ollama variants
0
0
Metadata source
openrouter
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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