Model Comparison

GPT-5.6 Sol vs K-EXAONE-236B-A23BWhich is better in 2026?

Comparing GPT-5.6 Sol and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

Verdict: GPT-5.6 Sol vs K-EXAONE-236B-A23B — which is better?

GPT-5.6 Sol (by OpenAI) and K-EXAONE-236B-A23B (by LG AI Research) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, K-EXAONE-236B-A23B is roughly 16.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Sol if…

  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose K-EXAONE-236B-A23B if…

  • cost matters — it's about 16.1x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.6 Sol and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

K-EXAONE-236B-A23B costs less

For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 8.3x more expensive than K-EXAONE-236B-A23B ($0.60/1M tokens).

For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 30.0x more expensive than K-EXAONE-236B-A23B ($1.00/1M tokens).

In conclusion, GPT-5.6 Sol is more expensive than K-EXAONE-236B-A23B.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
OpenAI
GPT-5.6 Sol
Input tokens$5.00
Output tokens$30.00
Best providerOpenAI
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Sol accepts 1,050,000 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Sol supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Sol

Text
Images
Audio
Video

K-EXAONE-236B-A23B

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.

GPT-5.6 Sol

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while K-EXAONE-236B-A23B was released on 2025-12-31.

GPT-5.6 Sol is 6 months newer than K-EXAONE-236B-A23B.

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

6mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a knowledge cutoff of 2026-02-16, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.

GPT-5.6 Sol has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).

GPT-5.6 Sol

Feb 2026

4 mo newer
K-EXAONE-236B-A23B

Oct 2025

Provider Availability

GPT-5.6 Sol is available from OpenAI. K-EXAONE-236B-A23B is available from FriendliAI.

GPT-5.6 Sol

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
LG AI Research
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Sol
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about GPT-5.6 Sol vs K-EXAONE-236B-A23B.

Which is better, GPT-5.6 Sol or K-EXAONE-236B-A23B?

GPT-5.6 Sol (OpenAI) and K-EXAONE-236B-A23B (LG AI Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.6 Sol compare to K-EXAONE-236B-A23B in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

Is GPT-5.6 Sol cheaper than K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is 8.3x cheaper for input tokens. GPT-5.6 Sol costs $5.00/M input and $30.00/M output via openai. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli.

What are the context window sizes for GPT-5.6 Sol and K-EXAONE-236B-A23B?

GPT-5.6 Sol supports 1.1M tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Sol and K-EXAONE-236B-A23B?

Key differences include context window (1.1M vs 33K), input pricing ($5.00 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and K-EXAONE-236B-A23B?

GPT-5.6 Sol is developed by OpenAI and K-EXAONE-236B-A23B is developed by LG AI Research.

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