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EXAONE 4.5 33B vs MiniMax M3.1 Flash

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 25.5.

LG AI Research · MiniMax · Updated for 2026

Which is better?

MiniMax M3.1 Flash leads the overall LLM Stats Score 48.7 to 25.5, ranking #29 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 MiniMax M3.1 Flash

  • overall performance matters — it scores 48.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
MiniMax M3.1 Flash
MiniMax
Core performance indexes
LLM Stats Score
25.5
#177
48.7
#29
Reasoning
26.1
#172
45.9
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
EXAONE 4.5 33B
MiniMax M3.1 Flash
Vision
13.3#114
28.9#42
Tool use
9.8#147
27.1#27
Multimodal
16.1#100
30.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 15 for MiniMax M3.1 Flash

No common benchmarks found

EXAONE 4.5 33B and MiniMax M3.1 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 MiniMax M3.1 Flash specifies input context (1,000,000 tokens). Only MiniMax M3.1 Flash specifies output context (524,288 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
MiniMax
MiniMax M3.1 Flash
Input1,000,000 tokens
Output524,288 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and MiniMax M3.1 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

MiniMax M3.1 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

MiniMax M3.1 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while MiniMax M3.1 Flash was released on 2026-10-19.

MiniMax M3.1 Flash is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

MiniMax M3.1 Flash

Oct 19, 2026

3 days ago

6mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while MiniMax M3.1 Flash'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 MiniMax M3.1 Flash's cutoff date.

EXAONE 4.5 33B

Dec 2024

MiniMax M3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
MiniMax M3.1 Flash
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs MiniMax M3.1 Flash.

Which is better, EXAONE 4.5 33B or MiniMax M3.1 Flash?

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 25.5. EXAONE 4.5 33B is made by LG AI Research and MiniMax M3.1 Flash is made by MiniMax. 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 MiniMax M3.1 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%. MiniMax M3.1 Flash scores BabyVision: 91.0%, CharXiv-R: 82.5%, CyberGym: 82.2%, BankerToolBench: 76.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for EXAONE 4.5 33B and MiniMax M3.1 Flash?

EXAONE 4.5 33B supports an unknown number of tokens and MiniMax M3.1 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 MiniMax M3.1 Flash?

Key differences include LLM Stats Score (25.5 vs 48.7). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and MiniMax M3.1 Flash?

EXAONE 4.5 33B is developed by LG AI Research and MiniMax M3.1 Flash is developed by MiniMax.

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