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ERNIE 5.0 vs Mercury 3

ERNIE 5.0 and Mercury 3 are closely matched at 33.2 and 36.1 on the LLM Stats Score.

Baidu · Inception · Updated for 2026

Which is better?

ERNIE 5.0 and Mercury 3 are closely matched on the overall LLM Stats Score at 33.2 and 36.1.

In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose ERNIE 5.0

  • you are already invested in the Baidu ecosystem

Choose Mercury 3

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
33.2
#121
36.1
#98
32.8
#119
34.8
#103
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.35 / M
Context window
—
1,000,000

Individual benchmarks

5 reported for ERNIE 5.0 · 12 for Mercury 3

1 shared

ERNIE 5.0 outperforms in 0 benchmarks, while Mercury 3 is better at 1 benchmark (GPQA).

Mercury 3 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

ERNIE 5.0 supports multimodal inputs, whereas Mercury 3 does not.

ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 5.0

Text
Images
Audio
Video

Mercury 3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

ERNIE 5.0

Proprietary

Closed source

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2026-01-22, while Mercury 3 was released on 2026-10-19.

Mercury 3 is 9 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2026

9 months ago

Mercury 3

Oct 19, 2026

3 days ago

9mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against ERNIE 5.0 and Mercury 3 side-by-side, then vote on the output you prefer.

ERNIE 5.0
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about ERNIE 5.0 vs Mercury 3.

Which is better, ERNIE 5.0 or Mercury 3?

ERNIE 5.0 and Mercury 3 are closely matched on the LLM Stats Score at 33.2 and 36.1. ERNIE 5.0 is made by Baidu and Mercury 3 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does ERNIE 5.0 compare to Mercury 3 in benchmarks?

ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%. Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%.

What are the context window sizes for ERNIE 5.0 and Mercury 3?

ERNIE 5.0 supports an unknown number of tokens and Mercury 3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between ERNIE 5.0 and Mercury 3?

Key differences include LLM Stats Score (33.2 vs 36.1), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes ERNIE 5.0 and Mercury 3?

ERNIE 5.0 is developed by Baidu and Mercury 3 is developed by Inception.