GPT-5.5 vs MiMo-V2.6-Flash
GPT-5.5 and MiMo-V2.6-Flash are closely matched at 48.0 and 45.6 on the LLM Stats Score. MiMo-V2.6-Flash is 64.3x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5.5 and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 48.0 and 45.6.
In the 3 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Flash is roughly 64.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.5 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-5.5
- you process long inputs — it offers a 1,050,000 token context window
Choose MiMo-V2.6-Flash
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 64.3x cheaper per token
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for GPT-5.5 · 16 for MiMo-V2.6-Flash
GPT-5.5 outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 3 benchmarks (CyberGym, DeepSWE 1.1, OSWorld-Verified).
MiMo-V2.6-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.5 ($5.00/1M tokens) is 35.7x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GPT-5.5 ($30.00/1M tokens) is 107.1x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GPT-5.5 is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.5 accepts 1,050,000 input tokens compared to MiMo-V2.6-Flash's 1,048,576 tokens. Only GPT-5.5 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.5 and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.5
MiMo-V2.6-Flash
License
Usage and distribution terms
GPT-5.5 is licensed under a proprietary license, while MiMo-V2.6-Flash 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-5.5 was released on 2026-04-23, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 5 months newer than GPT-5.5.
Apr 23, 2026
5 months ago
Sep 22, 2026
-1 days ago
5mo newerKnowledge Cutoff
When training data ends
GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while MiMo-V2.6-Flash's cutoff date is not specified.
We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.
Dec 2025
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Provider Availability
GPT-5.5 is available from OpenAI. MiMo-V2.6-Flash is available from Xiaomi.
GPT-5.5
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.5 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.5 vs MiMo-V2.6-Flash.