Decision support

ERNIE 4.5 300B A47B vs Kimi K2 Instruct

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

Benchmark results

  • Terminal Bench

    Best published score · Higher is better

    • ERNIE 4.5 300B A47B
      Not reported
    • Kimi K2 Instruct
      27.8%
      #40 of 49
    Runs and sources
    ERNIE 4.5 300B A47B

    Not reported

    Kimi K2 Instruct
    • default27.8%Terminus 2
    • default27.8%Terminus 2
    • default26.7%OpenHands
    • default26.7%OpenHands
    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.

Model specifications

Release date
June 30, 2025
July 11, 2025
Context window
131K
131K
Native context
—
—
Max output tokens
12,000
32,768
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
300B
1T

API pricing · USD per 1M tokens

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

Capabilities and modalities

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

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
Modified MIT
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
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.