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GPT-5 Codex vs MiMo-V2-Omni

GPT-5 Codex and MiMo-V2-Omni are closely matched at 26.6 and 27.4 on the LLM Stats Score.

OpenAI · Xiaomi · Updated for 2026

Which is better?

GPT-5 Codex and MiMo-V2-Omni are closely matched on the overall LLM Stats Score at 26.6 and 27.4.

In the 1 individual benchmarks reported for both models, MiMo-V2-Omni wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5 Codex

  • you are already invested in the OpenAI ecosystem

Choose MiMo-V2-Omni

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Mar 2026

At a glance

The differences that matter most.

GPT-5 Codex
OpenAI
MiMo-V2-Omni
Xiaomi
Core performance indexes
LLM Stats Score
26.6
#165
27.4
#158
Reasoning
26.4
#163
26.6
#160
Coding
19.1
#119
20.1
#111
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.40 / M
Output price
— / M
$2.00 / M
Context window
—
262,000

Individual benchmarks

1 reported for GPT-5 Codex · 5 for MiMo-V2-Omni

1 shared

GPT-5 Codex outperforms in 0 benchmarks, while MiMo-V2-Omni is better at 1 benchmark (SWE-Bench Verified).

MiMo-V2-Omni significantly outperforms across most benchmarks.

Fri Oct 16 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only MiMo-V2-Omni specifies input context (262,000 tokens). Only MiMo-V2-Omni specifies output context (16,384 tokens).

OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2-Omni supports multimodal inputs, whereas GPT-5 Codex does not.

MiMo-V2-Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 Codex

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5 Codex

Proprietary

Closed source

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 Codex was released on 2025-09-15, while MiMo-V2-Omni was released on 2026-03-18.

MiMo-V2-Omni is 6 months newer than GPT-5 Codex.

GPT-5 Codex

Sep 15, 2025

1.1 years ago

MiMo-V2-Omni

Mar 18, 2026

6 months ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while MiMo-V2-Omni's cutoff date is not specified.

We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without MiMo-V2-Omni's cutoff date.

GPT-5 Codex

Sep 2024

MiMo-V2-Omni

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5 Codex and MiMo-V2-Omni side-by-side, then vote on the output you prefer.

GPT-5 Codex
✓ Preferred
MiMo-V2-Omni
Open in Playground

FAQ

Common questions about GPT-5 Codex vs MiMo-V2-Omni.

Which is better, GPT-5 Codex or MiMo-V2-Omni?

GPT-5 Codex and MiMo-V2-Omni are closely matched on the LLM Stats Score at 26.6 and 27.4. GPT-5 Codex is made by OpenAI and MiMo-V2-Omni is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5 Codex compare to MiMo-V2-Omni in benchmarks?

GPT-5 Codex scores SWE-Bench Verified: 74.5%. MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.

What are the context window sizes for GPT-5 Codex and MiMo-V2-Omni?

GPT-5 Codex supports an unknown number of tokens and MiMo-V2-Omni supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 Codex and MiMo-V2-Omni?

Key differences include LLM Stats Score (26.6 vs 27.4), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 Codex and MiMo-V2-Omni?

GPT-5 Codex is developed by OpenAI and MiMo-V2-Omni is developed by Xiaomi.

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