Gemini 2.0 Flash-Lite vs GPT-4.1
Gemini 2.0 Flash-Lite and GPT-4.1 are closely matched at 12.4 and 18.0 on the LLM Stats Score. Gemini 2.0 Flash-Lite is 27.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.0 Flash-Lite and GPT-4.1 are closely matched on the overall LLM Stats Score at 12.4 and 18.0.
In the 2 individual benchmarks reported for both models, GPT-4.1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash-Lite is roughly 27.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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 27.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GPT-4.1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash-Lite · 29 for GPT-4.1
Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while GPT-4.1 is better at 2 benchmarks (GPQA, MMMU).
GPT-4.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 28.6x cheaper than GPT-4.1 ($2.00/1M tokens).
For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 26.7x cheaper than GPT-4.1 ($8.00/1M tokens).
In conclusion, GPT-4.1 is more expensive than Gemini 2.0 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to GPT-4.1's 1,047,576 tokens. GPT-4.1 can generate longer responses up to 32,768 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash-Lite and GPT-4.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash-Lite
GPT-4.1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash-Lite was released on 2025-02-05, while GPT-4.1 was released on 2025-04-14.
GPT-4.1 is 2 months newer than Gemini 2.0 Flash-Lite.
Feb 5, 2025
1.6 years ago
Apr 14, 2025
1.4 years ago
2mo newerKnowledge Cutoff
When training data ends
Both models have the same knowledge cutoff date of 2024-06-01.
They should have similar awareness of historical events and information up to this date.
Jun 2024
Jun 2024
Provider Availability
Gemini 2.0 Flash-Lite is available from Google. GPT-4.1 is available from OpenAI.
Gemini 2.0 Flash-Lite
GPT-4.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash-Lite and GPT-4.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash-Lite vs GPT-4.1.