Baidu: ERNIE 4.5 300B A47B
Analysis Summary
ERNIE 4.5 300B A47B is a text-only model with a 131K context window and low token pricing. The available measurements show broad task coverage, but limited general reasoning, coding, instruction following, and long-context retention. Tool use and function calling are not documented in the supplied record.
That profile supports routine drafting, classification, metadata creation, and supervised SEO transformations where cost is central and mistakes can be reviewed. It is not a strong choice for autonomous agents, difficult coding, strategic analysis, or complex client-facing copy that requires dependable nuance. The long context is useful in principle, but the measured retention result warrants caution.
Its price makes a controlled volume test worthwhile. Keep human review in the loop and compare it with stronger low-cost models before routing substantial client traffic.
Assessed August 9, 2026
Editorial notes
ERNIE 4.5 300B A47B is inexpensive and shows some broad benchmark coverage, but its measured reasoning, coding, instruction following, and long-context results are limited. It is better suited to supervised routine text work than complex automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
ERNIE 4.5 300B A47B is inexpensive and shows some broad benchmark coverage, but its measured reasoning, coding, instruction following, and long-context results are limited. It is better suited to supervised routine text work than complex automation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.9 Intelligence Index·41.3 Math Index
How Baidu: ERNIE 4.5 300B A47B compares
Baidu: ERNIE 4.5 300B A47B ranks #290 of 425 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.28 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.28 | $0.000280 |
| Output | $1.10 | $0.001100 |
What would Baidu: ERNIE 4.5 300B A47B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Baidu: ERNIE 4.5 300B A47B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Baidu: ERNIE 4.5 300B A47B
ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in..
Frequently asked questions about Baidu: ERNIE 4.5 300B A47B
How much does Baidu: ERNIE 4.5 300B A47B cost?
Baidu: ERNIE 4.5 300B A47B costs $0.28 per million input tokens and $1.10 per million output tokens.
What is the context window of Baidu: ERNIE 4.5 300B A47B?
Baidu: ERNIE 4.5 300B A47B has a context window of 131,072 tokens (131K).
Who created Baidu: ERNIE 4.5 300B A47B?
Baidu: ERNIE 4.5 300B A47B is developed by Baidu and was released on June 30, 2025.