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Claude Opus 4.8 vs ERNIE 4.5 VL 424B A47B

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 Claude Opus 4.8 and ERNIE 4.5 VL 424B A47B.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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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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Technical Specifications

SpecificationClaude Opus 4.8ERNIE 4.5 VL 424B A47B
ProviderAnthropicBaidu
Context Window1,000,000 tokens131,072 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272025-06-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

ERNIE 4.5 VL 424B A47B

$0.42

Output Price per Million Tokens

Claude Opus 4.8

$25.00

ERNIE 4.5 VL 424B A47B

$1.25

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
9540.0%vs8680.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B
HumanEvalPython coding & logic synthesis
9720.0%vs8200.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B
MATHComplex mathematical problem solving
9410.0%vs6520.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B
GPQAGraduate-level expert reasoning
8650.0%vs4500.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B
HellaSwagCommonsense reasoning and inference
9920.0%vs8650.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B
MT-BenchMulti-turn conversation flow quality
980.0%vs895.0%
Claude Opus 4.8
ERNIE 4.5 VL 424B A47B

Claude Opus 4.8 Quirks & Gotchas

  • Best-in-class for autonomous code repair and multi-agent orchestration
  • Preview model — API may introduce breaking changes without notice

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.