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Ember-1 vs EXAONE 4.5 33B

Ember-1 leads the LLM Stats Score 43.1 to 25.9.

Fireworks AI · LG AI Research · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 25.9, ranking #51 overall.

In the 1 individual benchmarks reported for both models, Ember-1 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 Ember-1

  • overall performance matters — it scores 43.1 and ranks #51 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

Choose EXAONE 4.5 33B

  • you are already invested in the LG AI Research ecosystem

At a glance

The differences that matter most.

Core performance indexes
43.1
#51
25.9
#168
38.6
#71
26.5
#161
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ember-1
EXAONE 4.5 33B
15.9#94
10.3#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 15 for EXAONE 4.5 33B

1 shared

Ember-1 outperforms in 1 benchmarks (Tau2 Airline), while EXAONE 4.5 33B is better at 0 benchmarks.

Ember-1 significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2747.0B diff

Ember-1 has 2747.0B more parameters than EXAONE 4.5 33B, making it 8324.2% larger.

Fireworks AI
Ember-1
2.8Tparameters
LG AI Research
EXAONE 4.5 33B
33.0Bparameters
2780.0B
Ember-1
33.0B
EXAONE 4.5 33B

Context Window

Maximum input and output token capacity

Only Ember-1 specifies input context (1,040,000 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

EXAONE 4.5 33B supports multimodal inputs, whereas Ember-1 does not.

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

Ember-1

Text
Images
Audio
Video

EXAONE 4.5 33B

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.

Ember-1

Proprietary

Closed source

EXAONE 4.5 33B

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while EXAONE 4.5 33B was released on 2026-04-09.

Ember-1 is 6 months newer than EXAONE 4.5 33B.

Ember-1

Sep 23, 2026

2 weeks ago

5mo newer
EXAONE 4.5 33B

Apr 9, 2026

6 months ago

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Ember-1's cutoff date is not specified.

We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without Ember-1's cutoff date.

Ember-1

—

EXAONE 4.5 33B

Dec 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and EXAONE 4.5 33B side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
EXAONE 4.5 33B
Open in Playground

FAQ

Common questions about Ember-1 vs EXAONE 4.5 33B.

Which is better, Ember-1 or EXAONE 4.5 33B?

Ember-1 leads the LLM Stats Score 43.1 to 25.9. Ember-1 is made by Fireworks 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 Ember-1 compare to EXAONE 4.5 33B in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. 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 Ember-1 and EXAONE 4.5 33B?

Ember-1 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 Ember-1 and EXAONE 4.5 33B?

Key differences include LLM Stats Score (43.1 vs 25.9), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and EXAONE 4.5 33B?

Ember-1 is developed by Fireworks AI and EXAONE 4.5 33B is developed by LG AI Research.