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EXAONE 4.5 33B vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 25.9.

LG AI Research · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 25.9, ranking #7 overall.

In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.

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 GPT-6.1 Sol

  • overall performance matters — it scores 53.9 and ranks #7 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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
GPT-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
25.9
#168
53.9
#7
Reasoning
26.5
#161
51.7
#8
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
EXAONE 4.5 33B
GPT-6.1 Sol
Math
28.4#95
34.9#46
Vision
13.3#105
36.2#10
Tool use
10.3#135
22.7#46
Multimodal
16.2#90
36.0#10
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 17 for GPT-6.1 Sol

1 shared

EXAONE 4.5 33B outperforms in 0 benchmarks, while GPT-6.1 Sol is better at 1 benchmark (MMMU-Pro).

GPT-6.1 Sol significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and GPT-6.1 Sol support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

EXAONE 4.5 33B

Text
Images
Audio
Video

GPT-6.1 Sol

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.

EXAONE 4.5 33B

Proprietary

Closed source

GPT-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a knowledge cutoff of 2024-12-01, while GPT-6.1 Sol has a cutoff of 2026-04-30.

GPT-6.1 Sol has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to EXAONE 4.5 33B (2024-12-01).

EXAONE 4.5 33B

Dec 2024

GPT-6.1 Sol

Apr 2026

1.3 yr newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs GPT-6.1 Sol.

Which is better, EXAONE 4.5 33B or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 25.9. EXAONE 4.5 33B is made by LG AI Research and GPT-6.1 Sol is made by OpenAI. 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 GPT-6.1 Sol 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%. GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

What are the context window sizes for EXAONE 4.5 33B and GPT-6.1 Sol?

EXAONE 4.5 33B supports an unknown number of tokens and GPT-6.1 Sol supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between EXAONE 4.5 33B and GPT-6.1 Sol?

Key differences include LLM Stats Score (25.9 vs 53.9). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and GPT-6.1 Sol?

EXAONE 4.5 33B is developed by LG AI Research and GPT-6.1 Sol is developed by OpenAI.

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