GPT-5.1 Thinking vs MiMo-V2-Pro
GPT-5.1 Thinking and MiMo-V2-Pro are closely matched at 36.5 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-5.1 Thinking and MiMo-V2-Pro are closely matched on the overall LLM Stats Score at 36.5 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-5.1 Thinking
- you want predictable pricing at $1.25/M input and $10.00/M output
Choose MiMo-V2-Pro
- 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
9 reported for GPT-5.1 Thinking · 7 for MiMo-V2-Pro
GPT-5.1 Thinking 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 Thinking ($1.25/1M tokens) is 1.3x more expensive than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, GPT-5.1 Thinking ($10.00/1M tokens) is 3.3x more expensive than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, GPT-5.1 Thinking 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-5.1 Thinking's 400,000 tokens. GPT-5.1 Thinking 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-5.1 Thinking supports multimodal inputs, whereas MiMo-V2-Pro does not.
GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Thinking
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-5.1 Thinking was released on 2025-11-12, while MiMo-V2-Pro was released on 2026-03-18.
MiMo-V2-Pro is 4 months newer than GPT-5.1 Thinking.
Nov 12, 2025
10 months ago
Mar 18, 2026
6 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.1 Thinking is available from OpenAI. MiMo-V2-Pro is available from Xiaomi.
GPT-5.1 Thinking
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 Thinking and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 Thinking vs MiMo-V2-Pro.