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Llama 3.1 405B Instruct vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 14.7.

Meta · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 14.7, ranking #57 overall.

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

Choose Llama 3.1 405B Instruct

  • you want predictable pricing at $0.89/M input and $0.89/M output

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
  • your work emphasizes 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.

Core performance indexes
14.7
#236
40.6
#57
11.5
#157
34.1
#35
Cost, coverage & limits
Benchmark wins
Input price
$0.89 / M
— / M
Output price
$0.89 / M
— / M
Context window
128,000

Individual benchmarks

18 reported for Llama 3.1 405B Instruct · 3 for MiMo-V2.6-Pro

No common benchmarks found

Llama 3.1 405B Instruct and MiMo-V2.6-Prodon'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

615.0B diff

MiMo-V2.6-Pro has 615.0B more parameters than Llama 3.1 405B Instruct, making it 151.9% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
405.0B
Llama 3.1 405B Instruct
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 405B Instruct

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while MiMo-V2.6-Pro uses MIT.

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

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 26 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.2 years ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

2.2yr 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 3.1 405B Instruct and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about Llama 3.1 405B Instruct vs MiMo-V2.6-Pro.

Which is better, Llama 3.1 405B Instruct or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 14.7. Llama 3.1 405B Instruct is made by Meta and MiMo-V2.6-Pro 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 3.1 405B Instruct compare to MiMo-V2.6-Pro in benchmarks?

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%.

What are the context window sizes for Llama 3.1 405B Instruct and MiMo-V2.6-Pro?

Llama 3.1 405B Instruct supports 128K tokens and MiMo-V2.6-Pro 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 3.1 405B Instruct and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (14.7 vs 40.6), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 405B Instruct and MiMo-V2.6-Pro?

Llama 3.1 405B Instruct is developed by Meta and MiMo-V2.6-Pro is developed by Xiaomi.