ERNIE 5.5 Flash Preview vs Kimi K2.6
ERNIE 5.5 Flash Preview leads the LLM Stats Score 52.3 to 43.0. ERNIE 5.5 Flash Preview is 2.9x cheaper per token.
Baidu · Moonshot AI · Updated for 2026
Which is better?
ERNIE 5.5 Flash Preview leads the overall LLM Stats Score 52.3 to 43.0, ranking #13 overall.
In the 2 individual benchmarks reported for both models, ERNIE 5.5 Flash Preview wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, ERNIE 5.5 Flash Preview is roughly 2.9x 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 agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.9x 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
Choose Kimi K2.6
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for ERNIE 5.5 Flash Preview · 28 for Kimi K2.6
ERNIE 5.5 Flash Preview outperforms in 2 benchmarks (APEX-Agents, BrowseComp), while Kimi K2.6 is better at 0 benchmarks.
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, ERNIE 5.5 Flash Preview ($0.28/1M tokens) is 2.7x cheaper than Kimi K2.6 ($0.75/1M tokens).
For output processing, ERNIE 5.5 Flash Preview ($1.13/1M tokens) is 3.1x cheaper than Kimi K2.6 ($3.50/1M tokens).
In conclusion, Kimi K2.6 is more expensive than ERNIE 5.5 Flash Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.6 has 720.0B more parameters than ERNIE 5.5 Flash Preview, making it 257.1% larger.
Context Window
Maximum input and output token capacity
ERNIE 5.5 Flash Preview accepts 1,048,576 input tokens compared to Kimi K2.6's 262,144 tokens. ERNIE 5.5 Flash Preview can generate longer responses up to 1,048,576 tokens, while Kimi K2.6 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.6 supports multimodal inputs, whereas ERNIE 5.5 Flash Preview does not.
Kimi K2.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 5.5 Flash Preview
Kimi K2.6
License
Usage and distribution terms
ERNIE 5.5 Flash Preview is licensed under a proprietary license, while Kimi K2.6 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
ERNIE 5.5 Flash Preview was released on 2026-11-11, while Kimi K2.6 was released on 2026-04-20.
ERNIE 5.5 Flash Preview is 7 months newer than Kimi K2.6.
Nov 11, 2026
1 days ago
6mo newerApr 20, 2026
6 months 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. Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
ERNIE 5.5 Flash Preview
Kimi K2.6
Outputs Comparison
Judge for yourself.
Run your own prompts against ERNIE 5.5 Flash Preview and Kimi K2.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about ERNIE 5.5 Flash Preview vs Kimi K2.6.