Gemini 2.0 Flash vs GPT-4.1 Mini
Side-by-side comparison of pricing and capabilities
Gemini 2.0 Flash
GPT-4.1 Mini
Input Price Comparison
| Attribute | Gemini 2.0 Flash | GPT-4.1 Mini |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.1 /1M tokens | $0.4 /1M tokens |
| Output Price | $0.4 /1M tokens | $1.6 /1M tokens |
| Cached Input | $0.010 /1M tokens | $0.100 /1M tokens |
| Context Window | 1.0M | 1.0M |
| Type | chat | chat |
| Status | deprecated | current |
Capability Comparison
| Capability | Gemini 2.0 Flash | GPT-4.1 Mini |
|---|---|---|
| vision | ||
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Gemini 2.0 Flash is 75% cheaper on input tokens ($0.1 vs $0.4 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Gemini 2.0 Flash supports 2 capabilities (vision, multilingual), while GPT-4.1 Mini supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Gemini 2.0 Flash or GPT-4.1 Mini?
Gemini 2.0 Flash costs $0.1/1M input vs GPT-4.1 Mini at $0.4/1M input. Gemini 2.0 Flash is 75% cheaper on input tokens.
How do output prices compare between Gemini 2.0 Flash and GPT-4.1 Mini?
Gemini 2.0 Flash output: $0.4/1M, GPT-4.1 Mini output: $1.6/1M. Gemini 2.0 Flash is more economical for generation-heavy workloads.
What is Gemini 2.0 Flash best used for?
Gemini 2.0 Flash is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is GPT-4.1 Mini best used for?
GPT-4.1 Mini is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.