GPT-5 vs MiMo-V2-Omni
GPT-5 and MiMo-V2-Omni are closely matched at 33.7 and 27.4 on the LLM Stats Score. MiMo-V2-Omni is 4.3x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5 and MiMo-V2-Omni are closely matched on the overall LLM Stats Score at 33.7 and 27.4.
In the 1 individual benchmarks reported for both models, GPT-5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2-Omni is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 also accepts a larger context window (400,000 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose MiMo-V2-Omni
- cost matters — it's about 4.3x cheaper per token
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Individual benchmarks
34 reported for GPT-5 · 5 for MiMo-V2-Omni
GPT-5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiMo-V2-Omni is better at 0 benchmarks.
GPT-5 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 ($1.25/1M tokens) is 3.1x more expensive than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, GPT-5 ($10.00/1M tokens) is 5.0x more expensive than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, GPT-5 is more expensive than MiMo-V2-Omni.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 accepts 400,000 input tokens compared to MiMo-V2-Omni's 262,000 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5 and MiMo-V2-Omni support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
MiMo-V2-Omni
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5 was released on 2025-08-07, while MiMo-V2-Omni was released on 2026-03-18.
MiMo-V2-Omni is 7 months newer than GPT-5.
Aug 7, 2025
1.2 years ago
Mar 18, 2026
6 months ago
7mo newerKnowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while MiMo-V2-Omni's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without MiMo-V2-Omni's cutoff date.
Sep 2024
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Provider Availability
GPT-5 is available from OpenAI. MiMo-V2-Omni is available from Xiaomi.
GPT-5
MiMo-V2-Omni
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 vs MiMo-V2-Omni.