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GPT-3.5 Turbo vs Ministral 3 (3B Base 2512)

GPT-3.5 Turbo and Ministral 3 (3B Base 2512) are closely matched at -9.4 and -6.4 on the LLM Stats Score.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-3.5 Turbo and Ministral 3 (3B Base 2512) are closely matched on the overall LLM Stats Score at -9.4 and -6.4.

In the 1 individual benchmarks reported for both models, Ministral 3 (3B Base 2512) 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-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Ministral 3 (3B Base 2512)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-9.4
#372
-6.4
#371
-8.7
#365
-6.4
#360
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-3.5 Turbo
Ministral 3 (3B Base 2512)
-2.3#311
-0.8#301
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 6 for Ministral 3 (3B Base 2512)

1 shared

GPT-3.5 Turbo outperforms in 0 benchmarks, while Ministral 3 (3B Base 2512) is better at 1 benchmark (MMLU).

Ministral 3 (3B Base 2512) significantly outperforms across most benchmarks.

Sat Oct 03 2026 • llm-stats.com

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
Mistral AI
Ministral 3 (3B Base 2512)
Input- tokens
Output- tokens
Sat Oct 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (3B Base 2512) supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Ministral 3 (3B Base 2512) 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

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Ministral 3 (3B Base 2512) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-3.5 Turbo

Proprietary

Closed source

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Ministral 3 (3B Base 2512) was released on 2025-12-04.

Ministral 3 (3B Base 2512) is 33 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Ministral 3 (3B Base 2512)

Dec 4, 2025

10 months ago

2.7yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Ministral 3 (3B Base 2512)'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 Ministral 3 (3B Base 2512)'s cutoff date.

GPT-3.5 Turbo

Sep 2021

Ministral 3 (3B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Ministral 3 (3B Base 2512) side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Ministral 3 (3B Base 2512)
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Ministral 3 (3B Base 2512).

Which is better, GPT-3.5 Turbo or Ministral 3 (3B Base 2512)?

GPT-3.5 Turbo and Ministral 3 (3B Base 2512) are closely matched on the LLM Stats Score at -9.4 and -6.4. GPT-3.5 Turbo is made by OpenAI and Ministral 3 (3B Base 2512) is made by Mistral AI. 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 Ministral 3 (3B Base 2512) in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%.

What are the context window sizes for GPT-3.5 Turbo and Ministral 3 (3B Base 2512)?

GPT-3.5 Turbo supports 16K tokens and Ministral 3 (3B Base 2512) 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 Ministral 3 (3B Base 2512)?

Key differences include LLM Stats Score (-9.4 vs -6.4), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Ministral 3 (3B Base 2512)?

GPT-3.5 Turbo is developed by OpenAI and Ministral 3 (3B Base 2512) is developed by Mistral AI.