Model Comparison

Gemini 2.0 Flash Thinking vs Gemini 1.5 Flash 8BWhich is better in 2026?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash Thinking vs Gemini 1.5 Flash 8B — which is better?

Gemini 2.0 Flash Thinking (by Google) and Gemini 1.5 Flash 8B (by Google) 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 Thinking outperforms in 2 benchmarks (GPQA, MMMU), while Gemini 1.5 Flash 8B is better at 0 benchmarks. Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash Thinking if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Gemini 1.5 Flash 8B if…

  • you want predictable pricing at $0.07/M input and $0.30/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (GPQA, MMMU), while Gemini 1.5 Flash 8B is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash Thinking and Gemini 1.5 Flash 8B support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Gemini 1.5 Flash 8B

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 Thinking

Proprietary

Closed source

Gemini 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Gemini 1.5 Flash 8B was released on 2024-03-15.

Gemini 2.0 Flash Thinking is 10 months newer than Gemini 1.5 Flash 8B.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

10mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while Gemini 1.5 Flash 8B has a cutoff of 2024-10-01.

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 Gemini 2.0 Flash Thinking (2024-08-01).

Gemini 2.0 Flash Thinking

Aug 2024

Gemini 1.5 Flash 8B

Oct 2024

2 mo newer

Outputs Comparison

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Key Takeaways

Google
Higher GPQA score (74.2% vs 38.4%)
Higher MMMU score (75.4% vs 53.7%)
Google
Larger context window (1,048,576 tokens)
GoogleGemini 2.0 Flash Thinking
GoogleGemini 1.5 Flash 8B
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Gemini 1.5 Flash 8B.

Which is better, Gemini 2.0 Flash Thinking or Gemini 1.5 Flash 8B?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and Gemini 1.5 Flash 8B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash Thinking compare to Gemini 1.5 Flash 8B in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Gemini 1.5 Flash 8B?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Gemini 1.5 Flash 8B supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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