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EXAONE 4.5 33B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 26.0.

LG AI Research · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 26.0, 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 MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
26.0
#155
45.6
#29
Reasoning
26.6
#148
42.5
#45
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.14 / M
Output price
— / M
$0.28 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
EXAONE 4.5 33B
MiMo-V2.6-Flash
Tool use
10.4#125
24.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 16 for MiMo-V2.6-Flash

No common benchmarks found

EXAONE 4.5 33B and MiMo-V2.6-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

Model Size

Parameter count comparison

276.0B diff

MiMo-V2.6-Flash has 276.0B more parameters than EXAONE 4.5 33B, making it 836.4% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
33.0B
EXAONE 4.5 33B
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Flash specifies input context (1,048,576 tokens).

LG AI Research
EXAONE 4.5 33B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both EXAONE 4.5 33B and MiMo-V2.6-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

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

EXAONE 4.5 33B is licensed under a proprietary license, while MiMo-V2.6-Flash uses MIT.

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

EXAONE 4.5 33B

Proprietary

Closed source

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 6 months newer than EXAONE 4.5 33B.

EXAONE 4.5 33B

Apr 9, 2026

5 months ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

5mo newer

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while MiMo-V2.6-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 MiMo-V2.6-Flash's cutoff date.

EXAONE 4.5 33B

Dec 2024

MiMo-V2.6-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs MiMo-V2.6-Flash.

Which is better, EXAONE 4.5 33B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 26.0. EXAONE 4.5 33B is made by LG AI Research and MiMo-V2.6-Flash is made by Xiaomi. 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 MiMo-V2.6-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%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

What are the context window sizes for EXAONE 4.5 33B and MiMo-V2.6-Flash?

EXAONE 4.5 33B supports an unknown number of tokens and MiMo-V2.6-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 MiMo-V2.6-Flash?

Key differences include LLM Stats Score (26.0 vs 45.6), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes EXAONE 4.5 33B and MiMo-V2.6-Flash?

EXAONE 4.5 33B is developed by LG AI Research and MiMo-V2.6-Flash is developed by Xiaomi.

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