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Gemini 2.0 Flash Thinking vs Gemini 3.8 Flash

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to 17.1.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.8 to 17.1, ranking #11 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.8 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
17.1
#205
51.8
#11
17.3
#197
47.6
#21
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.75 / M
Output price
— / M
$3.75 / M
Context window
1,048,576

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 13 for Gemini 3.8 Flash

No common benchmarks found

Gemini 2.0 Flash Thinking and Gemini 3.8 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Gemini 3.8 Flash 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 3.8 Flash

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 3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Gemini 3.8 Flash was released on 2026-09-02.

Gemini 3.8 Flash is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

Gemini 3.8 Flash

Sep 2, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while Gemini 3.8 Flash has a cutoff of 2026-03-31.

Gemini 3.8 Flash has more recent training data (up to 2026-03-31), 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 3.8 Flash

Mar 2026

1.6 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Gemini 3.8 Flash side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Gemini 3.8 Flash
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Gemini 3.8 Flash.

Which is better, Gemini 2.0 Flash Thinking or Gemini 3.8 Flash?

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to 17.1. Gemini 2.0 Flash Thinking is made by Google and Gemini 3.8 Flash is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Gemini 3.8 Flash in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Gemini 3.8 Flash?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Gemini 3.8 Flash 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 2.0 Flash Thinking and Gemini 3.8 Flash?

Key differences include LLM Stats Score (17.1 vs 51.8). See the full comparison above for benchmark-by-benchmark results.