ERNIE 5.5 Flash Preview vs Gemma 3 27B
ERNIE 5.5 Flash Preview leads the LLM Stats Score 52.3 to 7.7. Gemma 3 27B is 4.9x cheaper per token.
Baidu · Google · Updated for 2026
Which is better?
ERNIE 5.5 Flash Preview leads the overall LLM Stats Score 52.3 to 7.7, ranking #13 overall.
On price, Gemma 3 27B is roughly 4.9x 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 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
Choose Gemma 3 27B
- cost matters — it's about 4.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
13 reported for ERNIE 5.5 Flash Preview · 27 for Gemma 3 27B
ERNIE 5.5 Flash Preview and Gemma 3 27Bdon'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, ERNIE 5.5 Flash Preview ($0.28/1M tokens) is 3.5x more expensive than Gemma 3 27B ($0.08/1M tokens).
For output processing, ERNIE 5.5 Flash Preview ($1.13/1M tokens) is 7.1x more expensive than Gemma 3 27B ($0.16/1M tokens).
In conclusion, ERNIE 5.5 Flash Preview is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
ERNIE 5.5 Flash Preview has 253.0B more parameters than Gemma 3 27B, making it 937.0% larger.
Context Window
Maximum input and output token capacity
ERNIE 5.5 Flash Preview accepts 1,048,576 input tokens compared to Gemma 3 27B's 131,072 tokens. ERNIE 5.5 Flash Preview can generate longer responses up to 1,048,576 tokens, while Gemma 3 27B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3 27B supports multimodal inputs, whereas ERNIE 5.5 Flash Preview does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 5.5 Flash Preview
Gemma 3 27B
License
Usage and distribution terms
ERNIE 5.5 Flash Preview is licensed under a proprietary license, while Gemma 3 27B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
ERNIE 5.5 Flash Preview was released on 2026-11-11, while Gemma 3 27B was released on 2025-03-12.
ERNIE 5.5 Flash Preview is 20 months newer than Gemma 3 27B.
Nov 11, 2026
1 days ago
1.7yr newerMar 12, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
ERNIE 5.5 Flash Preview is available from Baidu Qianfan. Gemma 3 27B is available from DeepInfra, Novita.
ERNIE 5.5 Flash Preview
Gemma 3 27B
Outputs Comparison
Judge for yourself.
Run your own prompts against ERNIE 5.5 Flash Preview and Gemma 3 27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about ERNIE 5.5 Flash Preview vs Gemma 3 27B.