EXAONE 4.5 33B vs Seed 2.0 Mini

Q: What are the context window sizes for EXAONE 4.5 33B and Seed 2.0 Mini?

EXAONE 4.5 33B supports an unknown number of tokens and Seed 2.0 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Q: What are the main differences between EXAONE 4.5 33B and Seed 2.0 Mini?

Key differences include LLM Stats Score (26.1 vs 27.9). See the full comparison above for benchmark-by-benchmark results.

Q: Who makes EXAONE 4.5 33B and Seed 2.0 Mini?

EXAONE 4.5 33B is developed by LG AI Research and Seed 2.0 Mini is developed by ByteDance.

EXAONE 4.5 33B and Seed 2.0 Mini are closely matched at 26.1 and 27.9 on the LLM Stats Score.

LG AI Research · ByteDance · Updated for 2026

Which is better?

EXAONE 4.5 33B and Seed 2.0 Mini are closely matched on the overall LLM Stats Score at 26.1 and 27.9.

In the 9 individual benchmarks reported for both models, Seed 2.0 Mini wins 5; 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 want the most recent training data — it shipped Apr 2026

Choose Seed 2.0 Mini

you value its reported benchmark strengths — it wins 5 of 9 exact shared results

At a glance

The differences that matter most.

Core performance indexes

LLM Stats Score

26.1

#150 · 15 evals

27.9

#135 · 79 evals

Best

Reasoning

26.7

#143 · 13 evals

28.8

#123 · 59 evals

Best

Cost, coverage & limits

Benchmark wins

4 of 9

5 of 9

Best

Input price

— / M

$0.10 / M

Output price

— / M

$0.40 / M

Context window

—

256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

EXAONE 4.5 33B

Seed 2.0 Mini

Math

28.4#92 · 4 evals

26.7#100 · 14 evals

Vision

13.4#94 · 5 evals

18.0#79 · 49 evals

Multimodal

16.3#79 · 5 evals

21.5#63 · 42 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 83 for Seed 2.0 Mini

9 shared

EXAONE 4.5 33B outperforms in 4 benchmarks (AIME 2025, AIME 2026, GPQA, LiveCodeBench v6), while Seed 2.0 Mini is better at 5 benchmarks (MathVista-Mini, MMLU-Pro, MMMU, MMMU-Pro, MMStar).

Seed 2.0 Mini has a slight edge in benchmark performance.

Wed Sep 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 Seed 2.0 Mini specifies input context (256,000 tokens). Only Seed 2.0 Mini specifies output context (256,000 tokens).

EXAONE 4.5 33B

Input- tokens

Output- tokens

Seed 2.0 Mini

Input256,000 tokens

Output256,000 tokens

Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and Seed 2.0 Mini 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

Seed 2.0 Mini

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

Seed 2.0 Mini

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while Seed 2.0 Mini was released on 2026-02-17.

EXAONE 4.5 33B is 2 months newer than Seed 2.0 Mini.

EXAONE 4.5 33B

Apr 9, 2026

5 months ago

1mo newer

Seed 2.0 Mini

Feb 17, 2026

6 months ago

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while Seed 2.0 Mini'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 Seed 2.0 Mini's cutoff date.

EXAONE 4.5 33B

Dec 2024

Seed 2.0 Mini

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and Seed 2.0 Mini side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B

✓ Preferred

Seed 2.0 Mini

Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs Seed 2.0 Mini.

Which is better, EXAONE 4.5 33B or Seed 2.0 Mini?

EXAONE 4.5 33B and Seed 2.0 Mini are closely matched on the LLM Stats Score at 26.1 and 27.9. EXAONE 4.5 33B is made by LG AI Research and Seed 2.0 Mini is made by ByteDance. 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 Seed 2.0 Mini 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%. Seed 2.0 Mini scores CountBench: 95.5%, VLMsAreBlind: 93.1%, Graphwalks parents <128k: 93.0%, CharXiv-D: 91.9%, LongFact Concepts: 91.4%.

What are the context window sizes for EXAONE 4.5 33B and Seed 2.0 Mini?

EXAONE 4.5 33B supports an unknown number of tokens and Seed 2.0 Mini supports 256K 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 Seed 2.0 Mini?

Key differences include LLM Stats Score (26.1 vs 27.9). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and Seed 2.0 Mini?

EXAONE 4.5 33B is developed by LG AI Research and Seed 2.0 Mini is developed by ByteDance.

EXAONE 4.5 33B vs Seed 2.0 Mini