Model Comparison

Gemini 3 Flash vs GPT-4.1Which is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is 3.1x cheaper per token.

Verdict: Gemini 3 Flash vs GPT-4.1 — which is better?

Gemini 3 Flash (by Google) and GPT-4.1 (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 3 Flash outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, Humanity's Last Exam, MMMLU, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

On price, Gemini 3 Flash is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • cost matters — it's about 3.1x cheaper per token
  • you want the most recent training data — it shipped Dec 2025

Choose GPT-4.1 if…

  • you process long inputs — it offers a 1,047,576 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3 Flash outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, Humanity's Last Exam, MMMLU, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3 Flash costs less

For input processing, Gemini 3 Flash ($0.50/1M tokens) is 4.0x cheaper than GPT-4.1 ($2.00/1M tokens).

For output processing, Gemini 3 Flash ($3.00/1M tokens) is 2.7x cheaper than GPT-4.1 ($8.00/1M tokens).

In conclusion, GPT-4.1 is more expensive than Gemini 3 Flash.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3 Flash
Input tokens$0.50
Output tokens$3.00
Best providerGoogle
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to Gemini 3 Flash's 1,000,000 tokens. Gemini 3 Flash can generate longer responses up to 65,536 tokens, while GPT-4.1 is limited to 32,768 tokens.

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Flash and GPT-4.1 support multimodal inputs.

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

Gemini 3 Flash

Text
Images
Audio
Video

GPT-4.1

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 3 Flash

Proprietary

Closed source

GPT-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while GPT-4.1 was released on 2025-04-14.

Gemini 3 Flash is 8 months newer than GPT-4.1.

Gemini 3 Flash

Dec 17, 2025

5 months ago

8mo newer
GPT-4.1

Apr 14, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while GPT-4.1 has a cutoff of 2024-06-01.

Gemini 3 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to GPT-4.1 (2024-06-01).

Gemini 3 Flash

Jan 2025

7 mo newer
GPT-4.1

Jun 2024

Provider Availability

Gemini 3 Flash is available from Google. GPT-4.1 is available from OpenAI.

Gemini 3 Flash

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $3.00/1M

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (99.7% vs 46.4%)
Higher CharXiv-R score (80.3% vs 56.7%)
Higher GPQA score (90.4% vs 66.3%)
Higher Humanity's Last Exam score (43.5% vs 5.4%)
Higher MMMLU score (91.8% vs 87.3%)
Higher SWE-Bench Verified score (78.0% vs 54.6%)
OpenAI
Larger context window (1,047,576 tokens)
GoogleGemini 3 Flash
OpenAIGPT-4.1
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
OpenAI
GPT-4.1

FAQ

Common questions about Gemini 3 Flash vs GPT-4.1.

Which is better, Gemini 3 Flash or GPT-4.1?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google and GPT-4.1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Flash compare to GPT-4.1 in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

Is Gemini 3 Flash cheaper than GPT-4.1?

Gemini 3 Flash is 4.0x cheaper for input tokens. Gemini 3 Flash costs $0.50/M input and $3.00/M output via google. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for Gemini 3 Flash and GPT-4.1?

Gemini 3 Flash supports 1.0M tokens and GPT-4.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Flash and GPT-4.1?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.50 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Flash and GPT-4.1?

Gemini 3 Flash is developed by Google and GPT-4.1 is developed by OpenAI.

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