Decision support

Claude Haiku 5.5 vs Particle-1

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

Particle-1

Particle AI

Sources:OpenRouter

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • Claude Haiku 5.5
      1422
      Arena #131CI 1416 to 1429
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • high142295% CI 1416 to 1429 · 13,239 votes
    Particle-1

    Not reported

  • Arena WebDev

    Arena rating · Higher is better

    • Claude Haiku 5.5
      1594
      Arena #38CI 1585 to 1602
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • high159495% CI 1585 to 1602 · 6,549 votes
    Particle-1

    Not reported

  • Agent Arena

    IPS score · Higher is better

    • Claude Haiku 5.5
      +0.005
      Arena #29CI -0.006 to +0.015
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • high+0.00595% CI -0.006 to +0.015 · 4,460,773 observations
    Particle-1

    Not reported

  • ARC-AGI-2

    Best published score · Higher is better

    • Claude Haiku 5.5
      61.3%
      #33 of 85
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • low2.8%
    • medium9.4%
    • high30.7%
    • xhigh61.3%
    Particle-1

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply
  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • Claude Haiku 5.5
      46.3%
      #23 of 72
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • max46.3%
    Particle-1

    Not reported

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • Claude Haiku 5.5
      75.1%
      #22 of 87
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • max75.1%
    Particle-1

    Not reported

  • GPQA diamond

    Best published score · Higher is better

    • Claude Haiku 5.5
      89.6%
      #47 of 161
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • max89.6%
    Particle-1

    Not reported

  • Humanity's Last Exam

    Best published score · Higher is better

    • Claude Haiku 5.5
      30.1%
      #12 of 34
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • unknown30.1%
    Particle-1

    Not reported

    Source:External evaluation via Epoch AIOriginal-source terms apply
  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Claude Haiku 5.5
      98.9%
      #19 of 158
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • high97.2%
    • xhigh98.9%
    Particle-1

    Not reported

  • SimpleQA Verified

    Best published score · Higher is better

    • Claude Haiku 5.5
      23.8%
      #72 of 87
    • Particle-1
      Not reported
    Runs and sources
    Claude Haiku 5.5
    • max23.8%
    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.

Original-source terms apply to evaluations credited to their original publishers.

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
October 7, 2026
October 28, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
128,000
131,072
Knowledge cutoff
2026-06
—
Open weights
Closed
Unknown
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$0.10
$0.05
Output
$0.50
$0.50
Cached input
$0.01
$0.003
Cache write
$0.125
—

Capabilities and modalities

Input modalities
text, image, file
text, image
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, stop, structured_outputs, tool_choice, tools, verbosity
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
Claude
Other
Instruction format
—
—
License
—
—
Providers
5
1
Provider endpoints
20
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.

To give you the best experience, we use cookies for personalization, insights, and performance. Learn more.