K-EXAONE-236B-A23B vs Qwen3-235B-A22B-Thinking-2507

K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507 are closely matched at 26.2 and 28.0 on the LLM Stats Score. K-EXAONE-236B-A23B is 1.4x cheaper per token.

LG AI Research · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507 are closely matched on the overall LLM Stats Score at 26.2 and 28.0.

In the 3 individual benchmarks reported for both models, K-EXAONE-236B-A23B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, K-EXAONE-236B-A23B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Thinking-2507 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 value its reported benchmark strengths — it wins 2 of 3 exact shared results
cost matters — it's about 1.4x cheaper per token
you want the most recent training data — it shipped Dec 2025

Choose Qwen3-235B-A22B-Thinking-2507

you process long inputs — it offers a 262,144 token context window
you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Better token value: K-EXAONE-236B-A23B

K-EXAONE-236B-A23B

LG AI Research

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

26.2

#167 · 6 evals

28.0

#152 · 24 evals

Best

Reasoning

27.2

#154 · 5 evals

28.3

#144 · 19 evals

Best

Agents

3.9

#174 · 1 evals

11.3

#122 · 1 evals

Best

Cost, coverage & limits

Benchmark wins

2 of 3

Best

1 of 3

Input price

$0.60 / M

$0.30 / M

Best

Output price

$1.00 / M

Best

$3.00 / M

Context window

32,768

262,144

Best

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

K-EXAONE-236B-A23B

Qwen3-235B-A22B-Thinking-2507

Math

28.0#100 · 3 evals

31.3#73 · 9 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 25 for Qwen3-235B-A22B-Thinking-2507

3 shared

K-EXAONE-236B-A23B outperforms in 2 benchmarks (AIME 2025, LiveCodeBench v6), while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (MMLU-Pro).

K-EXAONE-236B-A23B shows notably better performance in the majority of benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 2.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 3.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers

Fri Oct 09 2026 • llm-stats.com

K-EXAONE-236B-A23B

Input tokens$0.60

Output tokens$1.00

Best providerFriendliAI

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?

Model Size

Parameter count comparison

1.0B diff

K-EXAONE-236B-A23B has 1.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 0.4% larger.

K-EXAONE-236B-A23B

236.0Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

236.0B

K-EXAONE-236B-A23B

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

K-EXAONE-236B-A23B

Input32,768 tokens

Output32,768 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Fri Oct 09 2026 • llm-stats.com

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

K-EXAONE-236B-A23B

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

K-EXAONE-236B-A23B is 5 months newer than Qwen3-235B-A22B-Thinking-2507.

K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

5mo newer

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Qwen3-235B-A22B-Thinking-2507'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 Qwen3-235B-A22B-Thinking-2507's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

K-EXAONE-236B-A23B

FriendliAI

Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B

✓ Preferred

Qwen3-235B-A22B-Thinking-2507

Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Qwen3-235B-A22B-Thinking-2507.

Which is better, K-EXAONE-236B-A23B or Qwen3-235B-A22B-Thinking-2507?

K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507 are closely matched on the LLM Stats Score at 26.2 and 28.0. K-EXAONE-236B-A23B is made by LG AI Research and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. 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 Qwen3-235B-A22B-Thinking-2507 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%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is K-EXAONE-236B-A23B cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 2.0x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507?

K-EXAONE-236B-A23B supports 33K tokens and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (26.2 vs 28.0), context window (33K vs 262K), input pricing ($0.60 vs $0.30/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Qwen3-235B-A22B-Thinking-2507?

K-EXAONE-236B-A23B is developed by LG AI Research and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

K-EXAONE-236B-A23B vs Qwen3-235B-A22B-Thinking-2507