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Claude Opus 4.7 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 4.7 and ERNIE 4.5 VL 424B A47B.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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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 4.7ERNIE 4.5 VL 424B A47B
ProviderAnthropicBaidu
Context Window1,000,000 tokens131,072 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-06-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

ERNIE 4.5 VL 424B A47B

$0.42

Output Price per Million Tokens

Claude Opus 4.7

$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
9410.0%vs8680.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B
HumanEvalPython coding & logic synthesis
9610.0%vs8200.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B
MATHComplex mathematical problem solving
9150.0%vs6520.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B
GPQAGraduate-level expert reasoning
8420.0%vs4500.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B
HellaSwagCommonsense reasoning and inference
9880.0%vs8650.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B
MT-BenchMulti-turn conversation flow quality
975.0%vs895.0%
Claude Opus 4.7
ERNIE 4.5 VL 424B A47B

Claude Opus 4.7 Quirks & Gotchas

  • Top-tier agentic coding model — excels at autonomous software engineering
  • Requires explicit tool_choice parameter for parallel function calling to work reliably

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.