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EXAONE 4.5 33B vs Inkling 2 Small

Inkling 2 Small leads the LLM Stats Score 47.1 to 25.2.

LG AI Research · Thinking Machines Lab · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.1 to 25.2, ranking #41 overall.

In the 2 individual benchmarks reported for both models, Inkling 2 Small 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 Inkling 2 Small

  • overall performance matters — it scores 47.1 and ranks #41 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 Nov 2026

At a glance

The differences that matter most.

Core performance indexes
25.2
#192
47.1
#41
25.7
#185
47.8
#26
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.30 / M
Output price
— / M
$1.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
EXAONE 4.5 33B
Inkling 2 Small
13.3#122
29.2#47
9.8#159
28.3#28
16.0#106
28.9#44
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 11 for Inkling 2 Small

2 shared

EXAONE 4.5 33B outperforms in 0 benchmarks, while Inkling 2 Small is better at 2 benchmarks (GPQA, MMMU-Pro).

Inkling 2 Small significantly outperforms across most benchmarks.

Wed Nov 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

561.0B diff

Inkling 2 Small has 561.0B more parameters than EXAONE 4.5 33B, making it 1700.0% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
33.0B
EXAONE 4.5 33B
594.0B
Inkling 2 Small

Context Window

Maximum input and output token capacity

Only Inkling 2 Small specifies input context (256,000 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Inkling 2 Small support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

EXAONE 4.5 33B

Text
Images
Audio
Video

Inkling 2 Small

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

Inkling 2 Small

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Inkling 2 Small was released on 2026-11-05.

Inkling 2 Small is 7 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

7 months ago

Inkling 2 Small

Nov 5, 2026

5 days ago

7mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Inkling 2 Small'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 Inkling 2 Small's cutoff date.

EXAONE 4.5 33B

Dec 2024

Inkling 2 Small

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Inkling 2 Small side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Inkling 2 Small
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Inkling 2 Small.

Which is better, EXAONE 4.5 33B or Inkling 2 Small?

Inkling 2 Small leads the LLM Stats Score 47.1 to 25.2. EXAONE 4.5 33B is made by LG AI Research and Inkling 2 Small is made by Thinking Machines Lab. 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 Inkling 2 Small 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%. Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%.

What are the context window sizes for EXAONE 4.5 33B and Inkling 2 Small?

EXAONE 4.5 33B supports an unknown number of tokens and Inkling 2 Small supports 256K 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 Inkling 2 Small?

Key differences include LLM Stats Score (25.2 vs 47.1). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Inkling 2 Small?

EXAONE 4.5 33B is developed by LG AI Research and Inkling 2 Small is developed by Thinking Machines Lab.