Model Comparison

Gemini 2.0 Flash vs GPT-5 nanoWhich is better in 2026?

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 1.3x cheaper per token.

Verdict: Gemini 2.0 Flash vs GPT-5 nano — which is better?

Gemini 2.0 Flash (by Google) and GPT-5 nano (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA). GPT-5 nano significantly outperforms across most benchmarks.

On price, GPT-5 nano is roughly 1.3x 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.

Choose Gemini 2.0 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose GPT-5 nano if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.3x cheaper per token
  • you want the most recent training data — it shipped Aug 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 2.0x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) costs the same as GPT-5 nano ($0.40/1M tokens).

In conclusion, Gemini 2.0 Flash is more expensive than GPT-5 nano.*

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

Lowest available price from all providers
Tue Jun 16 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
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-5 nano's 400,000 tokens. GPT-5 nano can generate longer responses up to 128,000 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-5 nano
Input400,000 tokens
Output128,000 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and GPT-5 nano 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-5 nano

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-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 8 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

GPT-5 nano

Aug 7, 2025

10 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-5 nano has a cutoff of 2024-05-30.

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-5 nano (2024-05-30).

Gemini 2.0 Flash

Aug 2024

3 mo newer
GPT-5 nano

May 2024

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-5 nano is available from OpenAI.

Gemini 2.0 Flash

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

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
OpenAI
Less expensive input tokens
Higher GPQA score (71.2% vs 62.1%)
GoogleGemini 2.0 Flash
OpenAIGPT-5 nano
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
GPT-5 nano

FAQ

Common questions about Gemini 2.0 Flash vs GPT-5 nano.

Which is better, Gemini 2.0 Flash or GPT-5 nano?

GPT-5 nano significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and GPT-5 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash compare to GPT-5 nano 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-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

Is Gemini 2.0 Flash cheaper than GPT-5 nano?

GPT-5 nano is 2.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GPT-5 nano costs $0.05/M input and $0.40/M output via openai.

What are the context window sizes for Gemini 2.0 Flash and GPT-5 nano?

Gemini 2.0 Flash supports 1.0M tokens and GPT-5 nano supports 400K 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-5 nano?

Key differences include context window (1.0M vs 400K), input pricing ($0.10 vs $0.05/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and GPT-5 nano?

Gemini 2.0 Flash is developed by Google and GPT-5 nano is developed by OpenAI.

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