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MiMo-V2.6-Pro vs o1

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 20.9. MiMo-V2.6-Pro is 48.3x cheaper per token.

Xiaomi · OpenAI · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 20.9, ranking #19 overall.

On price, MiMo-V2.6-Pro is roughly 48.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 48.3x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose o1

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
o1
OpenAI
Core performance indexes
LLM Stats Score
49.8
#19
20.9
#194
Reasoning
45.2
#30
21.3
#184
Coding
41.8
#9
4.6
#209
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
$15.00 / M
Output price
$0.87 / M
$60.00 / M
Context window
1,048,576
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2.6-Pro
o1
Tool use
28.0#21
12.7#103
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 19 for o1

No common benchmarks found

MiMo-V2.6-Pro and o1don'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

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Pro costs less

For input processing, MiMo-V2.6-Pro ($0.43/1M tokens) is 34.5x cheaper than o1 ($15.00/1M tokens).

For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 69.0x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than MiMo-V2.6-Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Xiaomi
MiMo-V2.6-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to o1's 200,000 tokens. Only o1 specifies output context (100,000 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas o1 does not.

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

MiMo-V2.6-Pro

Text
Images
Audio
Video

o1

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while o1 uses a proprietary license.

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

MiMo-V2.6-Pro

MIT

Open weights

o1

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while o1 was released on 2024-12-17.

MiMo-V2.6-Pro is 21 months newer than o1.

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

1.8yr newer
o1

Dec 17, 2024

1.8 years ago

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

Provider Availability

MiMo-V2.6-Pro is available from Xiaomi. o1 is available from Azure, OpenAI.

MiMo-V2.6-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against MiMo-V2.6-Pro and o1 side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
o1
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs o1.

Which is better, MiMo-V2.6-Pro or o1?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 20.9. MiMo-V2.6-Pro is made by Xiaomi and o1 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2.6-Pro compare to o1 in benchmarks?

MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

Is MiMo-V2.6-Pro cheaper than o1?

MiMo-V2.6-Pro is 34.5x cheaper for input tokens. MiMo-V2.6-Pro costs $0.43/M input and $0.87/M output via xiaomi. o1 costs $15.00/M input and $60.00/M output via azure.

What are the context window sizes for MiMo-V2.6-Pro and o1?

MiMo-V2.6-Pro supports 1.0M tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiMo-V2.6-Pro and o1?

Key differences include LLM Stats Score (49.8 vs 20.9), context window (1.0M vs 200K), input pricing ($0.43 vs $15.00/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and o1?

MiMo-V2.6-Pro is developed by Xiaomi and o1 is developed by OpenAI.

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