The AI arena is free today

Open Superagent

Gemini 2.0 Flash-Lite vs GPT-6 Rosalind

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

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite 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-Lite is roughly 235.3x 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-Lite

  • cost matters — it's about 235.3x 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-Lite
Google
GPT-6 Rosalind
OpenAI
Benchmark wins
—
—
Input price
$0.07 / M
$15.00 / M
Output price
$0.30 / M
$75.00 / M
Context window
1,048,576
—

Individual benchmarks

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

No common benchmarks found

Gemini 2.0 Flash-Lite 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-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 214.3x cheaper than GPT-6 Rosalind ($15.00/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 250.0x cheaper than GPT-6 Rosalind ($75.00/1M tokens).

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

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

Lowest available price from all providers
Wed Nov 04 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
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-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-6 Rosalind
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash-Lite 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-Lite

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-Lite

Proprietary

Closed source

GPT-6 Rosalind

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while GPT-6 Rosalind was released on 2026-10-30.

GPT-6 Rosalind is 21 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.7 years ago

GPT-6 Rosalind

Oct 30, 2026

5 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while GPT-6 Rosalind's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without GPT-6 Rosalind's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

GPT-6 Rosalind

—

Provider Availability

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

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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-Lite and GPT-6 Rosalind side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 2.0 Flash-Lite (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-Lite compare to GPT-6 Rosalind in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%.

Is Gemini 2.0 Flash-Lite cheaper than GPT-6 Rosalind?

Gemini 2.0 Flash-Lite is 214.3x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/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-Lite and GPT-6 Rosalind?

Gemini 2.0 Flash-Lite 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-Lite and GPT-6 Rosalind?

Key differences include input pricing ($0.07 vs $15.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and GPT-6 Rosalind?

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

Related comparisons