Gemini 1.5 Flash vs GPT-4o mini: Fast, Low-Cost AI for Developers
Comparing Google's Gemini 1.5 Flash and OpenAI's GPT-4o mini. Detailed breakdown of 1,000,000 token context window, native video/audio understanding, pricing ($0.075 vs $0.15), and latency.
Gemini 1.5 Flash
by Google
Google's high-speed, lightweight multimodal model. Features 1,000,000 token context, native video/audio understanding, and $0.075/M input pricing.
View model details
GPT-4o mini
by OpenAI
OpenAI's lightweight multimodal model optimized for low-latency chat, reasoning, and code generation.
View model detailsOur Pick: Gemini 1.5 Flash
Gemini 1.5 Flash wins for general developer workflows due to its massive 1M context window, video/audio multimodal understanding, and industry-low $0.075/M input pricing.
Benchmark Performance
Side-by-side results on major industry benchmarks (higher is better)
Feature Comparison
Compare core capabilities and tool support.
| Feature | Gemini 1.5 Flash | GPT-4o mini |
|---|---|---|
| Text & Code Generation | ||
| Image & Vision Understanding | ||
| Video & Audio Generation | ||
| Web Browsing / Search | ||
| Code Execution Environment | ||
| Autonomous Computer Use | ||
| Long Context Window | ||
| Multi-step Agentic Workflows | ||
| Custom Bots / Extensions | ||
| Fine-tuning |
Use Case Ratings
How each model performs in real-world scenarios (1-10).
| Use Case | Gemini 1.5 Flash | GPT-4o mini |
|---|---|---|
| Coding & Development | 8 | 8 |
| Writing & Content Creation | 8 | 8 |
| Research & Analysis | 9 | 8 |
| Creative Tasks | 7 | 8 |
| Data Analysis | 9 | 9 |
| Conversation & Nuance | 8 | 9 |
| Education & Tutoring | 8 | 8 |
| Math & Science | 8 | 8 |
| Summarization | 10 | 9 |
Pricing Comparison(Per 1M Tokens)
| Model | Input Tokens | Output Tokens | Blended Cost | Monthly (100M tokens) |
|---|---|---|---|---|
| Gemini 1.5 Flash | $0.075 | $0.30 | ~$0.13 | ~$13 |
| GPT-4o mini | $0.15 | $0.60 | ~$0.26 | ~$26 |
Gemini 1.5 Flash is 50% cheaper
For the same performance tier, Gemini 1.5 Flash offers exactly half the API cost of GPT-4o mini.
Pros & Cons
Gemini 1.5 Flash
- Massive 1,000,000 token context window (8x larger than GPT-4o mini)
- Native video and audio understanding (can ingest full 1-hour recordings)
- Cheapest input pricing: $0.075 per 1M tokens (50% cheaper than mini)
- High-speed generation (~120 tokens/sec)
- Slightly lower HumanEval code benchmark (74.3% vs 87.2%)
- Output token length limited to 8,192 tokens
GPT-4o mini
- Higher coding accuracy on HumanEval (87.2% vs 74.3%)
- Faster output generation speed (~140 tokens/sec)
- Larger output buffer (up to 16,384 tokens)
- Reliable function calling with strict JSON mode
- Smaller context window (128K vs 1.0M tokens on Flash)
- No native video or raw audio understanding
Frequently Asked Questions
Can Gemini 1.5 Flash analyze video files directly?
Yes. Gemini 1.5 Flash natively accepts video files (up to 1 hour in length) via the Google AI Studio API and can answer questions about visual timestamps.
How much cheaper is Gemini 1.5 Flash than GPT-4o mini?
Gemini 1.5 Flash costs $0.075/M input and $0.30/M output, which is 50% cheaper on both input and output compared to GPT-4o mini ($0.15/M input and $0.60/M output).
Final Takeaway
Gemini 1.5 Flash is the clear winner for document processing, video/audio summarization, and ultra-low cost ($0.075/M input). GPT-4o mini is preferred for high-speed conversational chatbots and applications requiring strict JSON schema adherence.
Detailed In-Depth Analysis
Long Context & Multimodal Ingestion
When comparing Gemini 1.5 Flash and GPT-4o mini, the fundamental difference lies in multimodal capabilities and context volume:
- 1 Million Token Context Window: Gemini 1.5 Flash processes up to 1,000,000 tokens in a single request. Developers can upload entire code repositories, hours of call audio, or complete PDF textbooks.
- Video & Audio Modalities: Flash natively processes video frames and audio waveforms, allowing timestamps-based question answering on recordings.
- Coding & Math: GPT-4o mini demonstrates superior performance on algorithmic code synthesis (87.2% on HumanEval vs 74.3% on Flash) and competition math (70.2% on MATH vs 62.4%).
Developer Recommendation
- Choose Gemini 1.5 Flash for high-volume content extraction, meeting audio transcription and analysis, customer support log ingestion, and video intelligence.
- Choose GPT-4o mini for low-latency coding assistants, interactive conversational bots, and structured JSON generation.
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