Decision support

ERNIE X1 Turbo vs Gemini 2.5 Flash Preview 05-20

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

Models Hardware

ERNIE X1 Turbo

Baidu

Gemini 2.5 Flash Preview 05-20

Google DeepMind

Sources:models.dev

Benchmark results

ARC-AGI-2
Best published score · Higher is better
- ERNIE X1 Turbo
  Not reported
- Gemini 2.5 Flash Preview 05-20
  2.5%
  #71 of 85
Runs and sources
ERNIE X1 Turbo
Not reported
Gemini 2.5 Flash Preview 05-20
default2.5%23K
default2.2%1K
default2.1%8K
default2.0%16K
default1.7%
Source:External evaluation via Epoch AIOriginal-source terms apply
Humanity's Last Exam
Best published score · Higher is better
- ERNIE X1 Turbo
  Not reported
- Gemini 2.5 Flash Preview 05-20
  11.0%
  #21 of 34
Runs and sources
ERNIE X1 Turbo
Not reported
Gemini 2.5 Flash Preview 05-20
default11.0%
Source:External evaluation via Epoch AIOriginal-source terms apply
OTIS Mock AIME 2024-2025
Best published score · Higher is better
- ERNIE X1 Turbo
  Not reported
- Gemini 2.5 Flash Preview 05-20
  70.8%
  #94 of 158
Runs and sources
ERNIE X1 Turbo
Not reported
Gemini 2.5 Flash Preview 05-20
default70.8%
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.

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

April 25, 2025

May 20, 2025

Context window

—

Native context

—

Max output tokens

—

65,536

Knowledge cutoff

—

2025-01

Open weights

Closed

Parameter count

—

API pricing · USD per 1M tokens

Input

—

Output

—

Cached input

—

Cache write

—

Capabilities and modalities

Input modalities

text, image

text, image, audio, video, file

Output modalities

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

Provider endpoints

Ollama variants

Metadata source

curated

models.dev

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

Benchmark results

ARC-AGI-2

Humanity's Last Exam

OTIS Mock AIME 2024-2025

Model specifications

API pricing · USD per 1M tokens

Capabilities and modalities

Architecture and availability