All Comparisons

Gemini 2.0 Flash vs GPT-4.1
Gemini 2.0 Flash
Google 🇺🇸
45.8
#180—
lowGPT-4.1
OpenAI 🇺🇸
32.8
#238—
high$2.00/M in · $8.00/M out
1.0M context
Most Affordable
GPT-4.1
$2.00/M input
Largest Context
GPT-4.1
1.0M tokens
Best Benchmark Score
Gemini 2.0 Flash
45.8/100
Model Specifications
| Spec | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| Provider | OpenAI | |
| Release Date | Dec 2024 | Apr 2025 |
| Knowledge Cutoff | 2024-08-01 | 2024-06-01 |
| Parameters | Undisclosed | Undisclosed |
| Context Window | — | 1.0M |
| Max Output | — | — |
| Open Source | No | No |
| License | proprietary | proprietary |
| Tokenizer | — | — |
| Modality | — | — |
| Reasoning Model | No | No |
| Moderated | No | No |
Pricing Comparison
| Price (per 1M tokens) | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| Input | — | $2.00 |
| Output | — | $8.00 |
API Provider Pricing
Capabilities
| Feature | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| Text Input | ||
| Image Input (Vision) | ||
| Audio Input | ||
| Video Input | ||
| File Input | ||
| Image Output | ||
| Audio Output | ||
| Tool Use | ||
| Structured Output (JSON) | ||
| Streaming | ||
| Reasoning Tokens | ||
| Web Search | ||
| Temperature Control | ||
| Top-P Sampling | ||
| Stop Sequences | ||
| Seed (Reproducibility) | ||
| Log Probabilities |
Category Comparison
Benchmark-by-Benchmark
image_quality
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| Image Arena Elo | 1260 | — |
reasoning
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| GPQA Diamond | 62.1 | 66.3 |
| Humanity's Last Exam | — | 5.4 |
multimodal
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| MMMU | 70.7 | 74.8 |
| CharXiv Reasoning | — | 56.7 |
general
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| MMMLU | — | 87.3 |
coding
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| SWE-bench Verified | — | 54.6 |
math
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| AIME 2025 | — | 46.4 |
agent
| Benchmark | Gemini 2.0 Flash | GPT-4.1 |
|---|---|---|
| TAU-Bench Retail | — | 68 |
Category Winners
coding
25.1
math
6.0
reasoning
39.5
general
66.0
multimodal
58.5
agent
50.7