LLM Reference

ERNIE 5.1

Released
2026-05-09
Last refreshed
2026-06-29
Status
Researched 72d ago
ProprietaryCommercial use: conditionalRAGAgentsLong contextClassificationJSON / Tool use

ERNIE 5.1 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
ERNIE 5
Released
2026-05-09
Context
128k
Max output
65,536
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Created by

Innovative text-to-video and app builder

Beijing, China
Founded 2010
Website
Pricing
Output / 1M
$2.65
Input / 1M
$0.590

Cheapest of 1 route · Baidu Qianfan

About

ERNIE 5.1 is Baidu's fifth-generation flagship language model, officially released May 9, 2026. Achieved via disaggregated fully-asynchronous reinforcement learning and scaled agentic post-training, it delivers leading performance at approximately 6% of the pre-training compute cost of comparable models — with roughly one-third the total parameters and half the active parameters of ERNIE 5.0. ERNIE 5.1 ranks #4 globally and #1 among Chinese models on the LMArena Search leaderboard (score: 1,223), with standout performance in legal reasoning, mathematics (AIME26: 99.6), and business domains. API model ID: ernie-5.1. Context: 128K tokens; max output: 65,536 tokens.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Baidu Qianfan$0.590$2.65
Serverless

Capabilities

JSON / Tool use

Benchmark peer barsfor Classification

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Chatbot Arena1476.0Arena EloObserved 2026-05-12Source
MMLU PRO85.6Observed 2026-05-09Source
Google-Proof Q&A82.1Observed 2026-05-09Source

Migration checks

No linked migration route is available for this model yet.