GPT-5.3 Codex vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 49.9 to 36.4. MiMo-V2.6-Pro is 8.9x cheaper per token.
OpenAI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.9 to 36.4, ranking #20 overall.
In the 1 individual benchmarks reported for both models, MiMo-V2.6-Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Pro is roughly 8.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro 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-5.3 Codex
- you want predictable pricing at $1.75/M input and $14.00/M output
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 49.9 and ranks #20 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 8.9x 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
6 reported for GPT-5.3 Codex · 18 for MiMo-V2.6-Pro
GPT-5.3 Codex outperforms in 0 benchmarks, while MiMo-V2.6-Pro is better at 1 benchmark (OSWorld-Verified).
MiMo-V2.6-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-5.3 Codex ($1.75/1M tokens) is 4.0x more expensive than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, GPT-5.3 Codex ($14.00/1M tokens) is 16.1x more expensive than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, GPT-5.3 Codex is more expensive than MiMo-V2.6-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to GPT-5.3 Codex's 400,000 tokens. Only GPT-5.3 Codex specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.3 Codex and MiMo-V2.6-Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.3 Codex
MiMo-V2.6-Pro
License
Usage and distribution terms
GPT-5.3 Codex is licensed under a proprietary license, while MiMo-V2.6-Pro 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-5.3 Codex was released on 2026-02-05, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 8 months newer than GPT-5.3 Codex.
Feb 5, 2026
7 months ago
Sep 22, 2026
1 weeks ago
7mo 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-5.3 Codex is available from OpenAI. MiMo-V2.6-Pro is available from Xiaomi.
GPT-5.3 Codex
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.3 Codex and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.3 Codex vs MiMo-V2.6-Pro.