GPT-6.1 Sol vs MiMo-V2.5
GPT-6.1 Sol leads the LLM Stats Score 53.9 to 35.9. MiMo-V2.5 is 19.0x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 35.9, ranking #7 overall.
In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.5 is roughly 19.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Sol 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-6.1 Sol
- overall performance matters — it scores 53.9 and ranks #7 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose MiMo-V2.5
- cost matters — it's about 19.0x cheaper per token
- 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
17 reported for GPT-6.1 Sol · 14 for MiMo-V2.5
GPT-6.1 Sol outperforms in 1 benchmarks (MMMU-Pro), while MiMo-V2.5 is better at 0 benchmarks.
GPT-6.1 Sol 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-6.1 Sol ($2.00/1M tokens) is 11.9x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 29.8x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, GPT-6.1 Sol 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-6.1 Sol 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-6.1 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6.1 Sol and MiMo-V2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6.1 Sol
MiMo-V2.5
License
Usage and distribution terms
GPT-6.1 Sol 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-6.1 Sol was released on 2026-09-29, while MiMo-V2.5 was released on 2026-04-22.
GPT-6.1 Sol is 5 months newer than MiMo-V2.5.
Sep 29, 2026
1 weeks ago
5mo newerApr 22, 2026
5 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while MiMo-V2.5's cutoff date is not specified.
We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without MiMo-V2.5's cutoff date.
Apr 2026
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Provider Availability
GPT-6.1 Sol is available from OpenAI. MiMo-V2.5 is available from Novita, DeepInfra.
GPT-6.1 Sol
MiMo-V2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Sol and MiMo-V2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Sol vs MiMo-V2.5.