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Gemini 2.0 Flash Thinking vs GPT-4o mini

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to 3.6.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 16.7 to 3.6, ranking #227 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 2; 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 Gemini 2.0 Flash Thinking

  • overall performance matters — it scores 16.7 and ranks #227 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose GPT-4o mini

  • you want predictable pricing at $0.15/M input and $0.60/M output

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
GPT-4o mini
OpenAI
Core performance indexes
LLM Stats Score
16.7
#227
3.6
#315
Reasoning
17.0
#220
4.1
#305
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
128,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 9 for GPT-4o mini

2 shared

Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (GPQA, MMMU), while GPT-4o mini is better at 0 benchmarks.

Gemini 2.0 Flash Thinking 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-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Sat Oct 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and GPT-4o mini support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

GPT-4o mini

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.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while GPT-4o mini was released on 2024-07-18.

Gemini 2.0 Flash Thinking is 6 months newer than GPT-4o mini.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

6mo newer
GPT-4o mini

Jul 18, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while GPT-4o mini has a cutoff of 2023-10-01.

Gemini 2.0 Flash Thinking has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).

Gemini 2.0 Flash Thinking

Aug 2024

10 mo newer
GPT-4o mini

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and GPT-4o mini side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
GPT-4o mini
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs GPT-4o mini.

Which is better, Gemini 2.0 Flash Thinking or GPT-4o mini?

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.7 to 3.6. Gemini 2.0 Flash Thinking is made by Google and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to GPT-4o mini in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and GPT-4o mini?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and GPT-4o mini?

Key differences include LLM Stats Score (16.7 vs 3.6). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and GPT-4o mini?

Gemini 2.0 Flash Thinking is developed by Google and GPT-4o mini is developed by OpenAI.

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