DeepSeek-V2.5 vs ERNIE 5.5 Flash Preview
ERNIE 5.5 Flash Preview leads the LLM Stats Score 52.3 to 7.6. DeepSeek-V2.5 is 2.8x cheaper per token.
DeepSeek · Baidu · Updated for 2026
Which is better?
ERNIE 5.5 Flash Preview leads the overall LLM Stats Score 52.3 to 7.6, ranking #13 overall.
On price, DeepSeek-V2.5 is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
ERNIE 5.5 Flash Preview also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V2.5
- cost matters — it's about 2.8x cheaper per token
- you need open weights you can self-host or fine-tune
Choose ERNIE 5.5 Flash Preview
- overall performance matters — it scores 52.3 and ranks #13 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Individual benchmarks
15 reported for DeepSeek-V2.5 · 13 for ERNIE 5.5 Flash Preview
DeepSeek-V2.5 and ERNIE 5.5 Flash Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 2.0x cheaper than ERNIE 5.5 Flash Preview ($0.28/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 4.0x cheaper than ERNIE 5.5 Flash Preview ($1.13/1M tokens).
In conclusion, ERNIE 5.5 Flash Preview is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
ERNIE 5.5 Flash Preview has 44.0B more parameters than DeepSeek-V2.5, making it 18.6% larger.
Context Window
Maximum input and output token capacity
ERNIE 5.5 Flash Preview accepts 1,048,576 input tokens compared to DeepSeek-V2.5's 8,192 tokens. ERNIE 5.5 Flash Preview can generate longer responses up to 1,048,576 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, 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.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while ERNIE 5.5 Flash Preview was released on 2026-11-11.
ERNIE 5.5 Flash Preview is 31 months newer than DeepSeek-V2.5.
May 8, 2024
2.5 years ago
Nov 11, 2026
1 days ago
2.5yr 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. ERNIE 5.5 Flash Preview is available from Baidu Qianfan.
DeepSeek-V2.5
ERNIE 5.5 Flash Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and ERNIE 5.5 Flash Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs ERNIE 5.5 Flash Preview.