Decision support

Muse Ember vs Particle-1

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

Benchmark results

  • Arena WebDev

    Arena rating · Higher is better

    • Muse Ember
      1609
      Arena #36CI 1592 to 1625
    • Particle-1
      Not reported
    Runs and sources
    Muse Ember
    • max160995% CI 1592 to 1625 · 1,337 votes
    Particle-1

    Not reported

  • Agent Arena

    IPS score · Higher is better

    • Muse Ember
      +0.017
      Arena #25CI -0.006 to +0.039
    • Particle-1
      Not reported
    Runs and sources
    Muse Ember
    • max+0.01795% CI -0.006 to +0.039 · 186,844 observations
    Particle-1

    Not reported

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.

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 9, 2026
October 28, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
943,718
131,072
Knowledge cutoff
—
—
Open weights
Closed
Unknown
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.10
$0.05
Output
$0.50
$0.50
Cached input
$0.004
$0.003
Cache write
$0.125
—

Capabilities and modalities

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

Architecture and availability

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

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

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