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EXAONE 4.5 33B vs Mercury 3

Mercury 3 leads the LLM Stats Score 36.1 to 25.5.

LG AI Research · Inception · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 25.5, ranking #98 overall.

In the 2 individual benchmarks reported for both models, Mercury 3 wins 2; 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 EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

Choose Mercury 3

  • overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 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
25.5
#177
36.1
#98
26.1
#172
34.8
#103
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.35 / M
Context window
—
1,000,000

Individual benchmarks

15 reported for EXAONE 4.5 33B · 12 for Mercury 3

2 shared

EXAONE 4.5 33B outperforms in 0 benchmarks, while Mercury 3 is better at 2 benchmarks (AA-LCR, 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).

LG AI Research
EXAONE 4.5 33B
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

EXAONE 4.5 33B supports multimodal inputs, whereas Mercury 3 does not.

EXAONE 4.5 33B can handle both text and other forms of data like images, making it suitable for multimodal applications.

EXAONE 4.5 33B

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.

EXAONE 4.5 33B

Proprietary

Closed source

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Mercury 3 was released on 2026-10-19.

Mercury 3 is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

Mercury 3

Oct 19, 2026

0 days ago

6mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Mercury 3's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Mercury 3's cutoff date.

EXAONE 4.5 33B

Dec 2024

Mercury 3

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Mercury 3 side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Mercury 3.

Which is better, EXAONE 4.5 33B or Mercury 3?

Mercury 3 leads the LLM Stats Score 36.1 to 25.5. EXAONE 4.5 33B is made by LG AI Research 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 EXAONE 4.5 33B compare to Mercury 3 in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. 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 EXAONE 4.5 33B and Mercury 3?

EXAONE 4.5 33B 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 EXAONE 4.5 33B and Mercury 3?

Key differences include LLM Stats Score (25.5 vs 36.1), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Mercury 3?

EXAONE 4.5 33B is developed by LG AI Research and Mercury 3 is developed by Inception.