Model Comparison

Gemini 1.5 Flash 8B vs GPT-5 nanoWhich is better in 2026?

GPT-5 nano significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 1.1x cheaper per token.

Verdict: Gemini 1.5 Flash 8B vs GPT-5 nano — which is better?

Gemini 1.5 Flash 8B (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 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA). GPT-5 nano significantly outperforms across most benchmarks.

On price, Gemini 1.5 Flash 8B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Flash 8B if…

  • cost matters — it's about 1.1x cheaper per token
  • 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
  • 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 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-5 nano is better at 1 benchmark (GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 1.4x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 1.3x cheaper than GPT-5 nano ($0.40/1M tokens).

In conclusion, GPT-5 nano is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
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 1.5 Flash 8B 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 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash 8B and GPT-5 nano support multimodal inputs.

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

Gemini 1.5 Flash 8B

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 1.5 Flash 8B

Proprietary

Closed source

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 17 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.3 years ago

GPT-5 nano

Aug 7, 2025

10 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while GPT-5 nano has a cutoff of 2024-05-30.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to GPT-5 nano (2024-05-30).

Gemini 1.5 Flash 8B

Oct 2024

5 mo newer
GPT-5 nano

May 2024

Provider Availability

Gemini 1.5 Flash 8B is available from Google. GPT-5 nano is available from OpenAI.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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)
Less expensive output tokens
OpenAI
Less expensive input tokens
Higher GPQA score (71.2% vs 38.4%)
GoogleGemini 1.5 Flash 8B
OpenAIGPT-5 nano
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
OpenAI
GPT-5 nano

FAQ

Common questions about Gemini 1.5 Flash 8B vs GPT-5 nano.

Which is better, Gemini 1.5 Flash 8B or GPT-5 nano?

GPT-5 nano significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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 1.5 Flash 8B compare to GPT-5 nano in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 1.5 Flash 8B cheaper than GPT-5 nano?

GPT-5 nano is 1.4x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/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 1.5 Flash 8B and GPT-5 nano?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B and GPT-5 nano?

Key differences include context window (1.0M vs 400K), input pricing ($0.07 vs $0.05/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and GPT-5 nano?

Gemini 1.5 Flash 8B is developed by Google and GPT-5 nano is developed by OpenAI.

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