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GPT-5.1 Codex vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 29.5.

OpenAI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to 29.5, ranking #29 overall.

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

Choose GPT-5.1 Codex

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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.

GPT-5.1 Codex
OpenAI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
29.5
#131
45.7
#29
Reasoning
29.7
#122
43.2
#42
Coding
21.0
#95
36.6
#22
Agents
10.4
#119
33.3
#25
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Individual benchmarks

3 reported for GPT-5.1 Codex · 16 for MiMo-V2.6-Flash

No common benchmarks found

GPT-5.1 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

Context Window

Maximum input and output token capacity

Only GPT-5.1 Codex specifies input context (400,000 tokens). Only GPT-5.1 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.1 Codex and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.1 Codex

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 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.

GPT-5.1 Codex

Proprietary

Closed source

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 10 months newer than GPT-5.1 Codex.

GPT-5.1 Codex

Nov 19, 2025

10 months ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

10mo newer

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while MiMo-V2.6-Flash's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.

GPT-5.1 Codex

Sep 2024

MiMo-V2.6-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5.1 Codex and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GPT-5.1 Codex
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GPT-5.1 Codex vs MiMo-V2.6-Flash.

Which is better, GPT-5.1 Codex or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to 29.5. GPT-5.1 Codex is made by OpenAI and MiMo-V2.6-Flash 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-5.1 Codex compare to MiMo-V2.6-Flash in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

What are the context window sizes for GPT-5.1 Codex and MiMo-V2.6-Flash?

GPT-5.1 Codex supports 400K tokens and MiMo-V2.6-Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 Codex and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (29.5 vs 45.7), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex and MiMo-V2.6-Flash?

GPT-5.1 Codex is developed by OpenAI and MiMo-V2.6-Flash is developed by Xiaomi.

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