GPT-5.2 Codex vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 34.3. MiMo-V2.6-Flash is 27.5x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 34.3, ranking #31 overall.
On price, MiMo-V2.6-Flash is roughly 27.5x 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-5.2 Codex
- you want predictable pricing at $1.75/M input and $14.00/M output
Choose MiMo-V2.6-Flash
- overall performance matters — it scores 45.7 and ranks #31 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- cost matters — it's about 27.5x 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.
Individual benchmarks
3 reported for GPT-5.2 Codex · 16 for MiMo-V2.6-Flash
GPT-5.2 Codex 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-5.2 Codex ($1.75/1M tokens) is 12.5x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, GPT-5.2 Codex ($14.00/1M tokens) is 50.0x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, GPT-5.2 Codex 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-5.2 Codex's 400,000 tokens. Only GPT-5.2 Codex specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 Codex and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Codex
MiMo-V2.6-Flash
License
Usage and distribution terms
GPT-5.2 Codex 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-5.2 Codex was released on 2026-01-14, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 8 months newer than GPT-5.2 Codex.
Jan 14, 2026
8 months ago
Sep 22, 2026
0 days ago
8mo 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-5.2 Codex is available from OpenAI. MiMo-V2.6-Flash is available from Xiaomi.
GPT-5.2 Codex
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Codex and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Codex vs MiMo-V2.6-Flash.