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Llama 4 Maverick vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 14.7.

Meta · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 14.7, ranking #29 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 4 Maverick

  • you want predictable pricing at $0.17/M input and $0.60/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Llama 4 Maverick
Meta
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
14.7
#237
45.6
#29
Reasoning
14.3
#233
42.5
#45
Coding
3.0
#222
36.7
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.17 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,000,000
—

Individual benchmarks

13 reported for Llama 4 Maverick · 16 for MiMo-V2.6-Flash

No common benchmarks found

Llama 4 Maverick 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

91.0B diff

Llama 4 Maverick has 91.0B more parameters than MiMo-V2.6-Flash, making it 29.4% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
400.0B
Llama 4 Maverick
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Maverick and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 4 Maverick

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while MiMo-V2.6-Flash uses MIT.

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

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 18 months newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.5 years ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 4 Maverick and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Llama 4 Maverick
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Llama 4 Maverick vs MiMo-V2.6-Flash.

Which is better, Llama 4 Maverick or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 14.7. Llama 4 Maverick is made by Meta 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 Llama 4 Maverick compare to MiMo-V2.6-Flash in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. 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 Llama 4 Maverick and MiMo-V2.6-Flash?

Llama 4 Maverick supports 1.0M tokens and MiMo-V2.6-Flash 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 Llama 4 Maverick and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (14.7 vs 45.6), licensing (Llama 4 Community License Agreement vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and MiMo-V2.6-Flash?

Llama 4 Maverick is developed by Meta and MiMo-V2.6-Flash is developed by Xiaomi.

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