KI‑Modell‑Intelligenz

ERNIE 4.5 300B A47B

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

Von baidu · Familie: ernie · veröffentlicht 2026-01

$0.280
Eingabe / 1 Mio. Tokens
$1.10
Ausgabe / 1 Mio. Tokens
123K
Kontextfenster
12K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

✓ Tool Calling✗ Reasoning✓ Strukturierte Ausgabe✗ Anhänge✓ Offene Gewichte✓ Temperatur-Steuerung
Modalitäten: Eingabe text · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding64
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability2/10
Agents70
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit8/15
  • Provider availability2/10
JSON / structured output97
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency59
  • Headline price (log-scaled)59/95
  • Has prompt-cache pricing0/5
Long context44
  • Context window (100K → 2M)34/90
  • Has published price for full window10/10
Production-readiness68
  • Number of independent providers10/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.95
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$3.90
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$1.11
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$3.34
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$4.02
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von jiekou · baidu/ernie-4.5-300b-a47b-paddle

$0.280
Eingabe
$1.10
Ausgabe

Bei 2 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Jiekou.AI
jiekou
baidu/ernie-4.5-300b-a47b-paddle$0.280$1.10123K2026-01
NovitaAI
novita-ai
baidu/ernie-4.5-300b-a47b-paddle$0.280$1.10123K2025-06-30

Datenunterschiede zwischen Anbietern

  • release_date varies (span 185d): 2025-06-30, 2026-01

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does ERNIE 4.5 300B A47B cost?

ERNIE 4.5 300B A47B costs $0.280 per 1M input tokens and $1.10 per 1M output tokens, sourced from jiekou. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B has a context window of 123K tokens, with a max output of 12K tokens per reply. This is the total combined size of prompt + completion.

Does ERNIE 4.5 300B A47B support tool calling?

Yes. ERNIE 4.5 300B A47B supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does ERNIE 4.5 300B A47B support structured output / JSON mode?

Yes. ERNIE 4.5 300B A47B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can ERNIE 4.5 300B A47B accept image input?

No. ERNIE 4.5 300B A47B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is ERNIE 4.5 300B A47B open-weight?

Yes. ERNIE 4.5 300B A47B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to ERNIE 4.5 300B A47B?

If ERNIE 4.5 300B A47B doesn't fit, consider ERNIE 4.5 300B, ERNIE 4.5 VL 28B, ERNIE 4.5 VL 424B A47B. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More baidu models

Capability lists this model is in

See also

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.