ERNIE 4.5 300B A47B

by BaiduChat

Open-weight instruction model for adaptable chat and self-hosted production workloads

Context
123K tokens
Max output
12,000 tokens
Parameters
300B total
Released
2026-01
Weights
Open
Licence
apache-2.0

Weights on Hugging Face

baidu/ernie-4-5-300b-a47b-paddle

Specifications

Full facts as recorded, incl. what is unknown.

Released
2026-01
Weights
Opennot gated
License
apache-2.0
Input
Text
Output
Text
Context window
123,000 max across endpoints
Max output
12,000
Providers
1 + 1 gateway, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.28 in · $1.10 out per 1M tokens · from its one provider
More details
Last updated
2026-01
Knowledge cutoff
Weights link
Hugging Face · baidu/ERNIE-4.5-300B-A47B-Paddle
Parameters
300B total

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messages
  • Assistant prefillunknown
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

No change since 19 Oct 2026. The cheapest direct price has been $0.28 in / $1.10 out per 1M tokens at Novita AI on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs ERNIE 4.5 300B A47B
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GLM-4.6Z.ai (Zhipu AI)$0.411$0.274$1.10205K−1% cheaper
GLM-4.7Z.ai (Zhipu AI)$0.411$0.274$1.10205K−1% cheaper
Qwen3.7 PlusAlibaba (Qwen)$0.423$0.282$1.131M+2%

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ernie-4-5-vl-28b-a3b2025-06-2930Kfrom $0.14
Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model