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Gemini 2.0 Flash vs GPT-4o mini

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to 3.8. Gemini 2.0 Flash is 1.5x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.6 to 3.8, ranking #209 overall.

In the 3 individual benchmarks reported for both models, Gemini 2.0 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 2.0 Flash is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemini 2.0 Flash

  • overall performance matters — it scores 16.6 and ranks #209 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 1.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Dec 2024

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
Google
GPT-4o mini
OpenAI
Core performance indexes
LLM Stats Score
16.6
#209
3.8
#295
Reasoning
16.0
#208
4.2
#285
Coding
1.8
#221
-0.4
#236
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.10 / M
$0.15 / M
Output price
$0.40 / M
$0.60 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 2.0 Flash
GPT-4o mini
Math
23.6#123
11.8#233
Vision
8.3#133
0.0#179
Multimodal
14.0#94
2.9#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMMU), while GPT-4o mini is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.15/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.60/1M tokens).

In conclusion, GPT-4o mini is more expensive than Gemini 2.0 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Sep 05 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GPT-4o mini's 128,000 tokens. GPT-4o mini can generate longer responses up to 16,384 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash 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

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

Proprietary

Closed source

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-4o mini was released on 2024-07-18.

Gemini 2.0 Flash is 5 months newer than GPT-4o mini.

Gemini 2.0 Flash

Dec 1, 2024

1.8 years ago

4mo newer
GPT-4o mini

Jul 18, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

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

Gemini 2.0 Flash 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

Aug 2024

10 mo newer
GPT-4o mini

Oct 2023

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-4o mini is available from Azure.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to 3.8. Gemini 2.0 Flash 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 compare to GPT-4o mini in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

Is Gemini 2.0 Flash cheaper than GPT-4o mini?

Gemini 2.0 Flash is 1.5x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.

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

Gemini 2.0 Flash supports 1.0M 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 and GPT-4o mini?

Key differences include LLM Stats Score (16.6 vs 3.8), context window (1.0M vs 128K), input pricing ($0.10 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

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

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

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