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Gemini 2.0 Flash vs GPT-6 Rosalind

Comparing Gemini 2.0 Flash and GPT-6 Rosalind across benchmarks, pricing, and capabilities.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash and GPT-6 Rosalind trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 2.0 Flash is roughly 171.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Gemini 2.0 Flash

  • cost matters — it's about 171.4x cheaper per token

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
GPT-6 Rosalind
OpenAI
Benchmark wins
—
—
Input price
$0.10 / M
$15.00 / M
Output price
$0.40 / M
$75.00 / M
Context window
1,048,576
—

Individual benchmarks

13 reported for Gemini 2.0 Flash · 0 for GPT-6 Rosalind

No common benchmarks found

Gemini 2.0 Flash and GPT-6 Rosalinddon'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

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 150.0x cheaper than GPT-6 Rosalind ($15.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 187.5x cheaper than GPT-6 Rosalind ($75.00/1M tokens).

In conclusion, GPT-6 Rosalind is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Mon Nov 02 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-6 Rosalind
Input tokens$15.00
Output tokens$75.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash and GPT-6 Rosalind support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

GPT-6 Rosalind

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

Proprietary

Closed source

GPT-6 Rosalind

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-6 Rosalind was released on 2026-10-30.

GPT-6 Rosalind is 23 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.9 years ago

GPT-6 Rosalind

Oct 30, 2026

2 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while GPT-6 Rosalind's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without GPT-6 Rosalind's cutoff date.

Gemini 2.0 Flash

Aug 2024

GPT-6 Rosalind

—

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-6 Rosalind is available from OpenAI.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-6 Rosalind

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and GPT-6 Rosalind side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
GPT-6 Rosalind
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs GPT-6 Rosalind.

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

Gemini 2.0 Flash (Google) and GPT-6 Rosalind (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash compare to GPT-6 Rosalind in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

Is Gemini 2.0 Flash cheaper than GPT-6 Rosalind?

Gemini 2.0 Flash is 150.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GPT-6 Rosalind costs $15.00/M input and $75.00/M output via openai.

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

Gemini 2.0 Flash supports 1.0M tokens and GPT-6 Rosalind supports an unknown number of 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 and GPT-6 Rosalind?

Key differences include input pricing ($0.10 vs $15.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and GPT-6 Rosalind?

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

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