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EXAONE 4.5 33B vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 25.9.

LG AI Research · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 25.9, ranking #15 overall.

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 Ling 3.1 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
25.9
#168
51.0
#15
Reasoning
26.5
#161
47.5
#26
Cost, coverage & limits
Benchmark wins
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—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
EXAONE 4.5 33B
Ling 3.1 Flash
Tool use
10.3#135
29.0#16
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 11 for Ling 3.1 Flash

No common benchmarks found

EXAONE 4.5 33B and Ling 3.1 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

527.0B diff

Ling 3.1 Flash has 527.0B more parameters than EXAONE 4.5 33B, making it 1597.0% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
InclusionAI
Ling 3.1 Flash
560.0Bparameters
33.0B
EXAONE 4.5 33B
560.0B
Ling 3.1 Flash

Input capabilities

Documented input modalities across available providers

EXAONE 4.5 33B supports multimodal inputs, whereas Ling 3.1 Flash 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

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Ling 3.1 Flash'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 Ling 3.1 Flash's cutoff date.

EXAONE 4.5 33B

Dec 2024

Ling 3.1 Flash

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Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Ling 3.1 Flash.

Which is better, EXAONE 4.5 33B or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 25.9. EXAONE 4.5 33B is made by LG AI Research and Ling 3.1 Flash is made by InclusionAI. 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 Ling 3.1 Flash 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%. Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%.

What are the main differences between EXAONE 4.5 33B and Ling 3.1 Flash?

Key differences include LLM Stats Score (25.9 vs 51.0), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Ling 3.1 Flash?

EXAONE 4.5 33B is developed by LG AI Research and Ling 3.1 Flash is developed by InclusionAI.

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