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K-EXAONE-236B-A23B vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 26.2.

LG AI Research · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 26.2, ranking #15 overall.

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

Choose K-EXAONE-236B-A23B

  • you want predictable pricing at $0.60/M input and $1.00/M output

Choose Ling 3.1 Flash

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

At a glance

The differences that matter most.

K-EXAONE-236B-A23B
LG AI Research
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
26.2
#167
51.0
#15
Reasoning
27.2
#154
47.5
#26
Agents
3.9
#174
38.0
#12
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.60 / M
— / M
Output price
$1.00 / M
— / M
Context window
32,768
—

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 11 for Ling 3.1 Flash

No common benchmarks found

K-EXAONE-236B-A23B 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

324.0B diff

Ling 3.1 Flash has 324.0B more parameters than K-EXAONE-236B-A23B, making it 137.3% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
InclusionAI
Ling 3.1 Flash
560.0Bparameters
236.0B
K-EXAONE-236B-A23B
560.0B
Ling 3.1 Flash

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 9 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

9mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Ling 3.1 Flash.

Which is better, K-EXAONE-236B-A23B or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 26.2. K-EXAONE-236B-A23B 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 K-EXAONE-236B-A23B compare to Ling 3.1 Flash in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%.

What are the context window sizes for K-EXAONE-236B-A23B and Ling 3.1 Flash?

K-EXAONE-236B-A23B supports 33K tokens and Ling 3.1 Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between K-EXAONE-236B-A23B and Ling 3.1 Flash?

Key differences include LLM Stats Score (26.2 vs 51.0), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Ling 3.1 Flash?

K-EXAONE-236B-A23B is developed by LG AI Research and Ling 3.1 Flash is developed by InclusionAI.

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