GPT-5 vs MiMo-V2-Pro
GPT-5 and MiMo-V2-Pro are closely matched at 33.8 and 35.6 on the LLM Stats Score. MiMo-V2-Pro is 2.3x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
GPT-5 and MiMo-V2-Pro are closely matched on the overall LLM Stats Score at 33.8 and 35.6.
In the 2 individual benchmarks reported for both models, MiMo-V2-Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2-Pro is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Pro also accepts a larger context window (1,000,000 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 want predictable pricing at $1.25/M input and $10.00/M output
Choose MiMo-V2-Pro
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.3x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
34 reported for GPT-5 · 7 for MiMo-V2-Pro
GPT-5 outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Tau2 Telecom).
MiMo-V2-Pro 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 1.3x more expensive than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, GPT-5 ($10.00/1M tokens) is 3.3x more expensive than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, GPT-5 is more expensive than MiMo-V2-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2-Pro accepts 1,000,000 input tokens compared to GPT-5's 400,000 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5 supports multimodal inputs, whereas MiMo-V2-Pro does not.
GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5
MiMo-V2-Pro
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-Pro was released on 2026-03-18.
MiMo-V2-Pro 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-Pro'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-Pro's cutoff date.
Sep 2024
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Provider Availability
GPT-5 is available from OpenAI. MiMo-V2-Pro is available from Xiaomi.
GPT-5
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 vs MiMo-V2-Pro.