Model Comparison

Gemini 3.6 Flash vs GPT-5Which is better in 2026?

Gemini 3.6 Flash significantly outperforms across most benchmarks. Gemini 3.6 Flash is 1.1x cheaper per token.

Verdict: Gemini 3.6 Flash vs GPT-5 — which is better?

Gemini 3.6 Flash (by Google) and GPT-5 (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 3.6 Flash outperforms in 1 benchmarks (CharXiv-R), while GPT-5 is better at 0 benchmarks. Gemini 3.6 Flash significantly outperforms across most benchmarks.

On price, Gemini 3.6 Flash is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 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 3.6 Flash if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.1x 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 Jul 2026

Choose GPT-5 if…

  • you want predictable pricing at $1.25/M input and $10.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.6 Flash outperforms in 1 benchmarks (CharXiv-R), while GPT-5 is better at 0 benchmarks.

Gemini 3.6 Flash significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.6 Flash costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 1.2x more expensive than GPT-5 ($1.25/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 1.3x cheaper than GPT-5 ($10.00/1M tokens).

In conclusion, GPT-5 is more expensive than Gemini 3.6 Flash.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.6 Flash accepts 1,048,576 input tokens compared to GPT-5's 400,000 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.6 Flash and GPT-5 support multimodal inputs.

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

Gemini 3.6 Flash

Text
Images
Audio
Video

GPT-5

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 3.6 Flash

Proprietary

Closed source

GPT-5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while GPT-5 was released on 2025-08-07.

Gemini 3.6 Flash is 12 months newer than GPT-5.

Gemini 3.6 Flash

Jul 21, 2026

0 days ago

11mo newer
GPT-5

Aug 7, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a knowledge cutoff of 2026-03-31, while GPT-5 has a cutoff of 2024-09-30.

Gemini 3.6 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-5 (2024-09-30).

Gemini 3.6 Flash

Mar 2026

1.5 yr newer
GPT-5

Sep 2024

Provider Availability

Gemini 3.6 Flash is available from Google. GPT-5 is available from OpenAI.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* 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
Higher CharXiv-R score (89.4% vs 81.1%)
OpenAI
Less expensive input tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and GPT-5 side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
GPT-5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.6 Flash
OpenAI
GPT-5

FAQ

Common questions about Gemini 3.6 Flash vs GPT-5.

Which is better, Gemini 3.6 Flash or GPT-5?

Gemini 3.6 Flash significantly outperforms across most benchmarks. Gemini 3.6 Flash is made by Google and GPT-5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.6 Flash compare to GPT-5 in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%.

Is Gemini 3.6 Flash cheaper than GPT-5?

GPT-5 is 1.2x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google. GPT-5 costs $1.25/M input and $10.00/M output via openai.

What are the context window sizes for Gemini 3.6 Flash and GPT-5?

Gemini 3.6 Flash supports 1.0M tokens and GPT-5 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 3.6 Flash and GPT-5?

Key differences include context window (1.0M vs 400K), input pricing ($1.50 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and GPT-5?

Gemini 3.6 Flash is developed by Google and GPT-5 is developed by OpenAI.

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