Model Comparison
GPT-5.6 Luna vs MiMo-V2.5Which is better in 2026?
GPT-5.6 Luna significantly outperforms across most benchmarks. MiMo-V2.5 is 10.7x cheaper per token.
Verdict: GPT-5.6 Luna vs MiMo-V2.5 — which is better?
GPT-5.6 Luna (by OpenAI) and MiMo-V2.5 (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.6 Luna outperforms in 2 benchmarks (MMMU-Pro, SWE-Bench Pro), while MiMo-V2.5 is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.
On price, MiMo-V2.5 is roughly 10.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Luna if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiMo-V2.5 if…
- cost matters — it's about 10.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Luna outperforms in 2 benchmarks (MMMU-Pro, SWE-Bench Pro), while MiMo-V2.5 is better at 0 benchmarks.
GPT-5.6 Luna significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 6.0x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 17.9x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, GPT-5.6 Luna is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Luna accepts 1,050,000 input tokens compared to MiMo-V2.5's 1,048,576 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while GPT-5.6 Luna is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.6 Luna and MiMo-V2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Luna
MiMo-V2.5
License
Usage and distribution terms
GPT-5.6 Luna is licensed under a proprietary license, while MiMo-V2.5 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
GPT-5.6 Luna was released on 2026-07-09, while MiMo-V2.5 was released on 2026-04-22.
GPT-5.6 Luna is 3 months newer than MiMo-V2.5.
Jul 9, 2026
1 weeks ago
2mo newerApr 22, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while MiMo-V2.5's cutoff date is not specified.
We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without MiMo-V2.5's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Luna is available from OpenAI. MiMo-V2.5 is available from Novita, DeepInfra.
GPT-5.6 Luna
MiMo-V2.5
Outputs Comparison
Key Takeaways
GPT-5.6 Luna
View detailsOpenAI
MiMo-V2.5
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Luna and MiMo-V2.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Luna vs MiMo-V2.5.