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GPT-3.5 Turbo vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to -9.4.

OpenAI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.7 to -9.4, ranking #29 overall.

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

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/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-3.5 Turbo
OpenAI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
-9.4
#367
45.7
#29
Reasoning
-8.7
#359
43.2
#42
Coding
-4.5
#261
36.6
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
—

Individual benchmarks

8 reported for GPT-3.5 Turbo · 16 for MiMo-V2.6-Flash

No common benchmarks found

GPT-3.5 Turbo 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas GPT-3.5 Turbo does not.

MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-3.5 Turbo 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-3.5 Turbo

Proprietary

Closed source

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 43 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

3.5yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while MiMo-V2.6-Flash's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.

GPT-3.5 Turbo

Sep 2021

MiMo-V2.6-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs MiMo-V2.6-Flash.

Which is better, GPT-3.5 Turbo or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.7 to -9.4. GPT-3.5 Turbo 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-3.5 Turbo compare to MiMo-V2.6-Flash in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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-3.5 Turbo and MiMo-V2.6-Flash?

GPT-3.5 Turbo supports 16K 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-3.5 Turbo and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (-9.4 vs 45.7), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and MiMo-V2.6-Flash?

GPT-3.5 Turbo is developed by OpenAI and MiMo-V2.6-Flash is developed by Xiaomi.

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