Gemini 2.0 Flash vs GPT-4.1 mini
Gemini 2.0 Flash and GPT-4.1 mini are closely matched at 16.5 and 14.0 on the LLM Stats Score. Gemini 2.0 Flash is 4.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.0 Flash and GPT-4.1 mini are closely matched on the overall LLM Stats Score at 16.5 and 14.0.
In the 2 individual benchmarks reported for both models, GPT-4.1 mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash 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
- cost matters — it's about 4.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GPT-4.1 mini
- 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 · 28 for GPT-4.1 mini
Gemini 2.0 Flash outperforms in 0 benchmarks, while GPT-4.1 mini is better at 2 benchmarks (GPQA, MMMU).
GPT-4.1 mini 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 ($0.10/1M tokens) is 4.0x cheaper than GPT-4.1 mini ($0.40/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 4.0x cheaper than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, GPT-4.1 mini is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GPT-4.1 mini's 1,047,576 tokens. GPT-4.1 mini can generate longer responses up to 32,768 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash and GPT-4.1 mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
GPT-4.1 mini
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 was released on 2024-12-01, while GPT-4.1 mini was released on 2025-04-14.
GPT-4.1 mini is 4 months newer than Gemini 2.0 Flash.
Dec 1, 2024
1.8 years ago
Apr 14, 2025
1.4 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-4.1 mini has a cutoff of 2024-05-31.
Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4.1 mini (2024-05-31).
Aug 2024
3 mo newerMay 2024
Provider Availability
Gemini 2.0 Flash is available from Google. GPT-4.1 mini is available from OpenAI.
Gemini 2.0 Flash
GPT-4.1 mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and GPT-4.1 mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs GPT-4.1 mini.