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Baidu · open-weights

ERNIE 5.5 Flash Base

ERNIE 5.5 Flash Base is an open-weights language model from Baidu, released October 21, 2026. It has 286B parameters (mixture-of-experts, 2.9B active). The context window is 1M tokens.

Check it against your own PC →

Lab
Baidu
Released
October 21, 2026
Weights
Open ernie-5.5-flash-base-model-license-v1.0
Parameters
286B MoE · 2.9B active
Context
1M
Price / M tokens
–
Epoch ECI
not yet rated

Can you run ERNIE 5.5 Flash Base locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMToo large––––
12 GB VRAMToo large––––
16 GB VRAMToo large––––
24 GB VRAMToo large––––
32 GB VRAMToo large––––

Benchmark results

Epoch AI has not published results for ERNIE 5.5 Flash Base yet. New models are usually evaluated within days to weeks.

Links

Hugging Face: baidu/ERNIE-5.5-Flash-Base

More from Baidu

ERNIE 5.5 Flash Base BF16 · ERNIE 5.1 · ERNIE-4.5-VL-28B-A3B · ERNIE-4.5-300B-A47B · ERNIE-4.5-21B-A3B · ERNIE-4.5-0.3B

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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