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ERNIE-5.5-Flash-Preview

baidu/ernie-5-5-flash-preview

Par baidu · famille: ernie · sorti 2026-11-10

$0.280
Entrée / 1M jetons
$1.13
Sortie / 1M jetons
1.02M
Fenêtre de contexte
922K
Sortie max

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

Capacités

✓ Tool calling✓ Raisonnement✓ Sortie structurée✗ Pièces jointes✓ Poids ouverts✓ Contrôle de température
Modalités: entrée text · sortie 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.

Coding92
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability2/10
Agents92
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability2/10
JSON / structured output97
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency64
  • Headline price (log-scaled)59/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Production-readiness70
  • Number of independent providers10/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • 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
$1.97
< $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
$3.93
< $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
$1.13
< $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
$3.37
< $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
$4.04
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de openrouter · baidu/ernie-5.5-flash-preview

$0.280
Entrée
$1.13
Sortie
$0.028
Lecture cache

Disponible chez 2 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
OpenRouter
openrouter
baidu/ernie-5.5-flash-preview$0.280$1.131.02M2026-11-10
Kilo Gateway
kilo
baidu/ernie-5.5-flash-preview$0.280$1.131.02M2026-11-10

Frequently asked questions

How much does ERNIE-5.5-Flash-Preview cost?

ERNIE-5.5-Flash-Preview costs $0.280 per 1M input tokens and $1.13 per 1M output tokens, sourced from openrouter. 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-5.5-Flash-Preview?

ERNIE-5.5-Flash-Preview has a context window of 1.02M tokens, with a max output of 922K tokens per reply. This is the total combined size of prompt + completion.

Does ERNIE-5.5-Flash-Preview support tool calling?

Yes. ERNIE-5.5-Flash-Preview 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-5.5-Flash-Preview support structured output / JSON mode?

Yes. ERNIE-5.5-Flash-Preview 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-5.5-Flash-Preview accept image input?

No. ERNIE-5.5-Flash-Preview only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is ERNIE-5.5-Flash-Preview open-weight?

Yes. ERNIE-5.5-Flash-Preview'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-5.5-Flash-Preview?

If ERNIE-5.5-Flash-Preview doesn't fit, consider ERNIE-Light-DT-1.0, ERNIE 4.5 21B A3B, CoBuddy. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Dernière mise à jour :

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.