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EXAONE 4.5 33B vs Gemini 3.8 Flash

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 26.3.

LG AI Research · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.0 to 26.3, ranking #15 overall.

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 Gemini 3.8 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • 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
Gemini 3.8 Flash
Google
Core performance indexes
LLM Stats Score
26.3
#141
51.0
#15
Reasoning
26.9
#134
46.9
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.75 / M
Output price
— / M
$3.75 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
EXAONE 4.5 33B
Gemini 3.8 Flash
Vision
14.1#91
33.8#15
Tool use
11.6#109
26.7#23
Multimodal
17.0#75
34.8#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 13 for Gemini 3.8 Flash

No common benchmarks found

EXAONE 4.5 33B and Gemini 3.8 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Gemini 3.8 Flash 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

Gemini 3.8 Flash

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

Gemini 3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Gemini 3.8 Flash was released on 2026-09-02.

Gemini 3.8 Flash is 5 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

4 months ago

Gemini 3.8 Flash

Sep 2, 2026

3 days ago

4mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a knowledge cutoff of 2024-12-01, while Gemini 3.8 Flash has a cutoff of 2026-03-31.

Gemini 3.8 Flash has more recent training data (up to 2026-03-31), 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

Gemini 3.8 Flash

Mar 2026

1.3 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Gemini 3.8 Flash side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
Gemini 3.8 Flash
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Gemini 3.8 Flash.

Which is better, EXAONE 4.5 33B or Gemini 3.8 Flash?

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 26.3. EXAONE 4.5 33B is made by LG AI Research and Gemini 3.8 Flash is made by Google. 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 Gemini 3.8 Flash 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%. Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for EXAONE 4.5 33B and Gemini 3.8 Flash?

EXAONE 4.5 33B supports an unknown number of tokens and Gemini 3.8 Flash supports 1.0M 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 Gemini 3.8 Flash?

Key differences include LLM Stats Score (26.3 vs 51.0). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Gemini 3.8 Flash?

EXAONE 4.5 33B is developed by LG AI Research and Gemini 3.8 Flash is developed by Google.

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