DeepSeek-V4-Pro-0813 vs ERNIE 5.5 Flash Preview
DeepSeek-V4-Pro-0813 and ERNIE 5.5 Flash Preview are closely matched at 48.9 and 52.3 on the LLM Stats Score. ERNIE 5.5 Flash Preview is 3.3x cheaper per token.
DeepSeek · Baidu · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and ERNIE 5.5 Flash Preview are closely matched on the overall LLM Stats Score at 48.9 and 52.3.
In the 4 individual benchmarks reported for both models, ERNIE 5.5 Flash Preview wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, ERNIE 5.5 Flash Preview is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you need open weights you can self-host or fine-tune
Choose ERNIE 5.5 Flash Preview
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 13 for ERNIE 5.5 Flash Preview
DeepSeek-V4-Pro-0813 outperforms in 0 benchmarks, while ERNIE 5.5 Flash Preview is better at 4 benchmarks (Agents' Last Exam, AutomationBench, Humanity's Last Exam (no tools, text-only), NL2Repo).
ERNIE 5.5 Flash Preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($1.30/1M tokens) is 4.6x more expensive than ERNIE 5.5 Flash Preview ($0.28/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 2.3x more expensive than ERNIE 5.5 Flash Preview ($1.13/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than ERNIE 5.5 Flash Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1320.0B more parameters than ERNIE 5.5 Flash Preview, making it 471.4% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while ERNIE 5.5 Flash Preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while ERNIE 5.5 Flash Preview was released on 2026-11-11.
ERNIE 5.5 Flash Preview is 3 months newer than DeepSeek-V4-Pro-0813.
Aug 13, 2026
3 months ago
Nov 11, 2026
2 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepInfra, DeepSeek, Novita, Together. ERNIE 5.5 Flash Preview is available from Baidu Qianfan.
DeepSeek-V4-Pro-0813
ERNIE 5.5 Flash Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and ERNIE 5.5 Flash Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs ERNIE 5.5 Flash Preview.