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K-EXAONE-236B-A23B vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 26.2. Ling 3.0 Flash Fin is 7.8x cheaper per token.

LG AI Research · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to 26.2, ranking #41 overall.

On price, Ling 3.0 Flash Fin is roughly 7.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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 3.0 Flash Fin

  • overall performance matters — it scores 43.2 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 7.8x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • 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 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
26.2
#150
43.2
#41
Reasoning
27.2
#138
44.6
#33
Agents
4.1
#158
29.5
#36
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.60 / M
$0.06 / M
Output price
$1.00 / M
$0.18 / M
Context window
32,768
262,144

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 6 for Ling 3.0 Flash Fin

No common benchmarks found

K-EXAONE-236B-A23B and Ling 3.0 Flash Findon'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

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 10.0x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 5.6x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, K-EXAONE-236B-A23B is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

112.0B diff

K-EXAONE-236B-A23B has 112.0B more parameters than Ling 3.0 Flash Fin, making it 90.3% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
236.0B
K-EXAONE-236B-A23B
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Fri Sep 11 2026 • llm-stats.com

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 8 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

8 months ago

Ling 3.0 Flash Fin

Sep 3, 2026

1 weeks ago

8mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Ling 3.0 Flash Fin'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 3.0 Flash Fin's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Ling 3.0 Flash Fin

—

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Ling 3.0 Flash Fin is available from DeepInfra.

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Ling 3.0 Flash Fin.

Which is better, K-EXAONE-236B-A23B or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 26.2. K-EXAONE-236B-A23B is made by LG AI Research and Ling 3.0 Flash Fin 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 3.0 Flash Fin 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 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

Is K-EXAONE-236B-A23B cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 10.0x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for K-EXAONE-236B-A23B and Ling 3.0 Flash Fin?

K-EXAONE-236B-A23B supports 33K tokens and Ling 3.0 Flash Fin supports 262K 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 3.0 Flash Fin?

Key differences include LLM Stats Score (26.2 vs 43.2), context window (33K vs 262K), input pricing ($0.60 vs $0.06/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Ling 3.0 Flash Fin?

K-EXAONE-236B-A23B is developed by LG AI Research and Ling 3.0 Flash Fin is developed by InclusionAI.

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