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ERNIE 4.5 VL 424B A47B vs Gemini 2.5 Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for ERNIE 4.5 VL 424B A47B and Gemini 2.5 Pro.

Baidu

ERNIE 4.5 VL 424B A47B

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

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Google

Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

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Technical Specifications

SpecificationERNIE 4.5 VL 424B A47BGemini 2.5 Pro
ProviderBaiduGoogle
Context Window131,072 tokens1,048,576 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A450 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-302025-06-17

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$0.42

Gemini 2.5 Pro

$1.25

Output Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$1.25

Gemini 2.5 Pro

$10.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8680.0%vs8990.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro
HumanEvalPython coding & logic synthesis
8200.0%vs9150.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro
MATHComplex mathematical problem solving
6520.0%vs8200.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro
GPQAGraduate-level expert reasoning
4500.0%vs7200.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro
HellaSwagCommonsense reasoning and inference
8650.0%vs9620.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro
MT-BenchMulti-turn conversation flow quality
895.0%vs930.0%
ERNIE 4.5 VL 424B A47B
Gemini 2.5 Pro

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.

Gemini 2.5 Pro Quirks & Gotchas

  • Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency