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ERNIE 4.5 VL 424B A47B vs DeepSeek V3.1

Detailed technical comparison between ERNIE 4.5 VL 424B A47B (Baidu) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

ERNIE 4.5 VL 424B A47B: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Baiduactive

ERNIE 4.5 VL 424B A47B

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

View ERNIE 4.5 VL 424B A47B Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationERNIE 4.5 VL 424B A47BDeepSeek V3.1
ProviderBaiduDeepSeek
Context Window123,000 tokens163,840 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-302025-08-21

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$0.42

DeepSeek V3.1

$0.25

Output Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$1.25

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 1.7x cheaper per input token than ERNIE 4.5 VL 424B A47B.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
86.8%vs80.0%+6.8% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
82.0%vs78.2%+3.8% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
65.2%vs55.4%+9.8% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
45.0%vs40.8%+4.2% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
86.5%vs83.0%+3.5% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
8.9%vs8.6%+0.4% ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B ๐Ÿ†
DeepSeek V3.1

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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