The AI arena is free today

Open Superagent

GPT-5.1 Codex Mini vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to -2.8. MiMo-V2.6-Pro is 1.3x cheaper per token.

OpenAI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to -2.8, ranking #19 overall.

On price, MiMo-V2.6-Pro is roughly 1.3x 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 GPT-5.1 Codex Mini

  • you want predictable pricing at $0.25/M input and $2.00/M output

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 1.3x 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

At a glance

The differences that matter most.

Core performance indexes
-2.8
#344
49.8
#19
-2.7
#336
45.2
#30
Cost, coverage & limits
Benchmark wins
Input price
$0.25 / M
$0.43 / M
Output price
$2.00 / M
$0.87 / M
Context window
400,000
1,048,576

Individual benchmarks

1 reported for GPT-5.1 Codex Mini · 18 for MiMo-V2.6-Pro

No common benchmarks found

GPT-5.1 Codex Mini 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

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Pro costs less

For input processing, GPT-5.1 Codex Mini ($0.25/1M tokens) is 1.7x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).

For output processing, GPT-5.1 Codex Mini ($2.00/1M tokens) is 2.3x more expensive than MiMo-V2.6-Pro ($0.87/1M tokens).

In conclusion, GPT-5.1 Codex Mini 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
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Xiaomi
MiMo-V2.6-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
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 GPT-5.1 Codex Mini's 400,000 tokens. Only GPT-5.1 Codex Mini specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.1 Codex Mini and MiMo-V2.6-Pro support multimodal inputs.

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

GPT-5.1 Codex Mini

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex Mini is licensed under a proprietary license, while MiMo-V2.6-Pro uses MIT.

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

GPT-5.1 Codex Mini

Proprietary

Closed source

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex Mini was released on 2025-11-12, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 10 months newer than GPT-5.1 Codex Mini.

GPT-5.1 Codex Mini

Nov 12, 2025

10 months ago

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

10mo 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

Provider Availability

GPT-5.1 Codex Mini is available from OpenAI. MiMo-V2.6-Pro is available from Xiaomi.

GPT-5.1 Codex Mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M

MiMo-V2.6-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
* 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 GPT-5.1 Codex Mini and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

GPT-5.1 Codex Mini
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about GPT-5.1 Codex Mini vs MiMo-V2.6-Pro.

Which is better, GPT-5.1 Codex Mini or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to -2.8. GPT-5.1 Codex Mini is made by OpenAI 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 GPT-5.1 Codex Mini compare to MiMo-V2.6-Pro in benchmarks?

GPT-5.1 Codex Mini scores AIME 2025: 42.1%. 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%.

Is GPT-5.1 Codex Mini cheaper than MiMo-V2.6-Pro?

GPT-5.1 Codex Mini is 1.7x cheaper for input tokens. GPT-5.1 Codex Mini costs $0.25/M input and $2.00/M output via openai. MiMo-V2.6-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for GPT-5.1 Codex Mini and MiMo-V2.6-Pro?

GPT-5.1 Codex Mini supports 400K tokens and MiMo-V2.6-Pro 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 GPT-5.1 Codex Mini and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (-2.8 vs 49.8), context window (400K vs 1.0M), input pricing ($0.25 vs $0.43/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex Mini and MiMo-V2.6-Pro?

GPT-5.1 Codex Mini is developed by OpenAI and MiMo-V2.6-Pro is developed by Xiaomi.