GPT-6 Luna vs MiMo-V2.6-Pro
GPT-6 Luna and MiMo-V2.6-Pro are closely matched at 44.5 and 50.0 on the LLM Stats Score. GPT-6 Luna is 2.7x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-6 Luna and MiMo-V2.6-Pro are closely matched on the overall LLM Stats Score at 44.5 and 50.0.
In the 3 individual benchmarks reported for both models, MiMo-V2.6-Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6 Luna is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 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-6 Luna
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
Choose MiMo-V2.6-Pro
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GPT-6 Luna · 18 for MiMo-V2.6-Pro
GPT-6 Luna outperforms in 1 benchmarks (Agents' Last Exam), while MiMo-V2.6-Pro is better at 2 benchmarks (AutomationBench v1.0.6, DeepSWE 1.1).
MiMo-V2.6-Pro shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Luna ($0.10/1M tokens) is 4.3x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 1.7x cheaper than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to MiMo-V2.6-Pro's 1,048,576 tokens. Only GPT-6 Luna specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Luna and MiMo-V2.6-Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Luna
MiMo-V2.6-Pro
License
Usage and distribution terms
GPT-6 Luna 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2026-09-22.
They likely represent similar generations of model development.
Sep 22, 2026
0 days ago
Sep 22, 2026
0 days ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while MiMo-V2.6-Pro's cutoff date is not specified.
We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. MiMo-V2.6-Pro is available from Xiaomi.
GPT-6 Luna
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs MiMo-V2.6-Pro.