Decision support

ERNIE X1.1 vs x-AI/Grok-Code-Fast 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

    • ERNIE X1.1
      Not reported
    • x-AI/Grok-Code-Fast 1
      1164
      Arena #154CI 1135 to 1193
    Runs and sources
    ERNIE X1.1

    Not reported

    x-AI/Grok-Code-Fast 1
    • default116495% CI 1135 to 1193 · 770 votes
  • Terminal Bench

    Best published score · Higher is better

    • ERNIE X1.1
      Not reported
    • x-AI/Grok-Code-Fast 1
      25.8%
      #42 of 49
    Runs and sources
    ERNIE X1.1

    Not reported

    x-AI/Grok-Code-Fast 1
    • default25.8%Mini-SWE-Agent
    • default25.8%Mini-SWE-Agent
    • default14.2%Terminus 2
    • default14.2%Terminus 2
    Sources:Terminal-Bench v2 LeaderboardOriginal-source terms applyhttps://www.tbench.ai/leaderboard/terminal-bench/2.0Original-source terms apply

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
September 9, 2025
September 2, 2025
Context window
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256K
Native context
—
—
Max output tokens
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10,000
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
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—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
—
Supported
Supported options
—
tools, reasoning, temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
proprietary
—
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
models.dev

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

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