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Gemini 2.0 Flash Thinking vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.7 to 17.0.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 17.0, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

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 GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
GPT-6 Astra
OpenAI
Core performance indexes
LLM Stats Score
17.0
#207
60.7
#1
Reasoning
17.2
#199
58.7
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
—
1,050,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 22 for GPT-6 Astra

1 shared

Gemini 2.0 Flash Thinking outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and GPT-6 Astra 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

GPT-6 Astra

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

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while GPT-6 Astra was released on 2026-09-03.

GPT-6 Astra is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

GPT-6 Astra

Sep 3, 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 GPT-6 Astra has a cutoff of 2026-04-30.

GPT-6 Astra has more recent training data (up to 2026-04-30), 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

GPT-6 Astra

Apr 2026

1.7 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 GPT-6 Astra side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs GPT-6 Astra.

Which is better, Gemini 2.0 Flash Thinking or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.7 to 17.0. Gemini 2.0 Flash Thinking is made by Google and GPT-6 Astra is made by OpenAI. 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 GPT-6 Astra in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

What are the context window sizes for Gemini 2.0 Flash Thinking and GPT-6 Astra?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and GPT-6 Astra supports 1.1M 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 GPT-6 Astra?

Key differences include LLM Stats Score (17.0 vs 60.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and GPT-6 Astra?

Gemini 2.0 Flash Thinking is developed by Google and GPT-6 Astra is developed by OpenAI.

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