GPT-4.1 vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 18.0. MiMo-V2.6-Flash is 20.0x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 18.0, ranking #29 overall.
On price, MiMo-V2.6-Flash is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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-4.1
- you want predictable pricing at $2.00/M input and $8.00/M output
Choose MiMo-V2.6-Flash
- overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 20.0x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for GPT-4.1 · 16 for MiMo-V2.6-Flash
GPT-4.1 and MiMo-V2.6-Flashdon'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
For input processing, GPT-4.1 ($2.00/1M tokens) is 14.3x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GPT-4.1 ($8.00/1M tokens) is 28.6x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GPT-4.1 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
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to GPT-4.1's 1,047,576 tokens. Only GPT-4.1 specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1
MiMo-V2.6-Flash
License
Usage and distribution terms
GPT-4.1 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-4.1 was released on 2025-04-14, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 18 months newer than GPT-4.1.
Apr 14, 2025
1.4 years ago
Sep 22, 2026
0 days ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while MiMo-V2.6-Flash's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.
Jun 2024
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Provider Availability
GPT-4.1 is available from OpenAI. MiMo-V2.6-Flash is available from Xiaomi.
GPT-4.1
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 vs MiMo-V2.6-Flash.