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Beam 1.0 vs EXAONE 4.5 33B

Beam 1.0 leads the LLM Stats Score 44.6 to 25.5.

Reflection AI · LG AI Research · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 25.5, ranking #46 overall.

In the 3 individual benchmarks reported for both models, Beam 1.0 wins 3; 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 Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
EXAONE 4.5 33B
LG AI Research
Core performance indexes
LLM Stats Score
44.6
#46
25.5
#177
Reasoning
45.5
#37
26.1
#172
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Beam 1.0
EXAONE 4.5 33B
Math
35.1#45
28.3#101
Vision
15.9#105
13.3#114
Tool use
26.4#32
9.8#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 15 for EXAONE 4.5 33B

3 shared

Beam 1.0 outperforms in 3 benchmarks (AA-LCR, AIME 2026, GPQA), while EXAONE 4.5 33B is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

468.3B diff

Beam 1.0 has 468.3B more parameters than EXAONE 4.5 33B, making it 1419.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
LG AI Research
EXAONE 4.5 33B
33.0Bparameters
501.3B
Beam 1.0
33.0B
EXAONE 4.5 33B

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

EXAONE 4.5 33B supports multimodal inputs, whereas Beam 1.0 does not.

EXAONE 4.5 33B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

EXAONE 4.5 33B

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while EXAONE 4.5 33B uses a proprietary license.

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

Beam 1.0

Apache 2.0

Open weights

EXAONE 4.5 33B

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while EXAONE 4.5 33B was released on 2026-04-09.

Beam 1.0 is 6 months newer than EXAONE 4.5 33B.

Beam 1.0

Oct 16, 2026

6 days ago

6mo newer
EXAONE 4.5 33B

Apr 9, 2026

6 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while EXAONE 4.5 33B has a cutoff of 2024-12-01.

Beam 1.0 has more recent training data (up to 2026-06-30), making it potentially better informed about events through that date compared to EXAONE 4.5 33B (2024-12-01).

Beam 1.0

Jun 2026

1.5 yr newer
EXAONE 4.5 33B

Dec 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and EXAONE 4.5 33B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
EXAONE 4.5 33B
Open in Playground

FAQ

Common questions about Beam 1.0 vs EXAONE 4.5 33B.

Which is better, Beam 1.0 or EXAONE 4.5 33B?

Beam 1.0 leads the LLM Stats Score 44.6 to 25.5. Beam 1.0 is made by Reflection AI and EXAONE 4.5 33B is made by LG AI Research. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to EXAONE 4.5 33B in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%.

What are the context window sizes for Beam 1.0 and EXAONE 4.5 33B?

Beam 1.0 supports 1.0M tokens and EXAONE 4.5 33B 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 Beam 1.0 and EXAONE 4.5 33B?

Key differences include LLM Stats Score (44.6 vs 25.5), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and EXAONE 4.5 33B?

Beam 1.0 is developed by Reflection AI and EXAONE 4.5 33B is developed by LG AI Research.

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