DeepSeek-R1 vs ERNIE 5.5 Flash Preview
Comparing DeepSeek-R1 and ERNIE 5.5 Flash Preview across benchmarks, pricing, and capabilities.
DeepSeek · Baidu · Updated for 2026
Which is better?
DeepSeek-R1 and ERNIE 5.5 Flash Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, ERNIE 5.5 Flash Preview is roughly 1.9x 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-R1
- you need open weights you can self-host or fine-tune
Choose ERNIE 5.5 Flash Preview
- cost matters — it's about 1.9x cheaper per token
- 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
0 reported for DeepSeek-R1 · 13 for ERNIE 5.5 Flash Preview
DeepSeek-R1 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-R1 ($0.55/1M tokens) is 2.0x more expensive than ERNIE 5.5 Flash Preview ($0.28/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.9x more expensive than ERNIE 5.5 Flash Preview ($1.13/1M tokens).
In conclusion, DeepSeek-R1 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-R1 has 391.0B more parameters than ERNIE 5.5 Flash Preview, making it 139.6% larger.
Context Window
Maximum input and output token capacity
ERNIE 5.5 Flash Preview accepts 1,048,576 input tokens compared to DeepSeek-R1's 131,072 tokens. ERNIE 5.5 Flash Preview can generate longer responses up to 1,048,576 tokens, while DeepSeek-R1 is limited to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-R1 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-R1 was released on 2025-01-20, while ERNIE 5.5 Flash Preview was released on 2026-11-11.
ERNIE 5.5 Flash Preview is 22 months newer than DeepSeek-R1.
Jan 20, 2025
1.8 years ago
Nov 11, 2026
1 days ago
1.8yr 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-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. ERNIE 5.5 Flash Preview is available from Baidu Qianfan.
DeepSeek-R1
ERNIE 5.5 Flash Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and ERNIE 5.5 Flash Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs ERNIE 5.5 Flash Preview.