Gemini 2.0 Flash vs GPT-4o (Omni)
Compare Gemini 2.0 Flash vs GPT-4o (Omni) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | Gemini 2.0 Flash | GPT-4o (Omni) | Advantage |
|---|---|---|---|
| Provider | OpenAI | - | |
| Input Token Cost (1M) | $0.100 | $2.500 | Gemini 2.0 Flash |
| Output Token Cost (1M) | $0.400 | $10.000 | Gemini 2.0 Flash |
| Context Window | 1,000k tokens | 128k tokens | Gemini 2.0 Flash |
| Intelligence Benchmark Score | 88/100 | 92/100 | GPT-4o (Omni) |
| Streaming Latency | Ultra-Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 2.0 Flash is $0.10/1M vs GPT-4o (Omni) at $2.50/1M
- Output Token Cost: Gemini 2.0 Flash is $0.40/1M vs GPT-4o (Omni) at $10.00/1M
- Context Window: Gemini 2.0 Flash supports 1,000k tokens vs GPT-4o (Omni) with 128k tokens
- Benchmark Intelligence Rating: Gemini 2.0 Flash scores 88/100 vs GPT-4o (Omni) at 92/100
- Inference Latency: Gemini 2.0 Flash is rated Ultra-Fast vs GPT-4o (Omni) rated Fast
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a scenario or fine-tune token parameters and cloud host below.
Token & Usage ParametersLLM API
Switching from GPT-4o ($195.00/mo) to Gemini 1.5 Flash ($5.85/mo) saves 97%.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
Real-time conversational streaming, vision, multimodal processing at speed
High-volume text processing, fast chatbots, structured JSON extraction
Top open-weights coding, math, and multilingual benchmark performance
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Complex math, algorithmic reasoning, open deep-thinking workflows
Rapid code completion, customer service, fast structured parsing
Cost-effective scientific & coding reasoning, high-accuracy logic
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Real-time information synthesis, creative generation, vision analysis
Complex multimodal reasoning, coding, and production enterprise apps
Software engineering, nuanced writing, complex agentic tool use
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is Gemini 2.0 Flash cheaper than GPT-4o (Omni)?
Gemini 2.0 Flash is significantly more economical, charging $0.10/1M input compared to $2.50/1M for GPT-4o (Omni).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Gemini 2.0 Flash. If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between Gemini 2.0 Flash and GPT-4o (Omni)?
Gemini 2.0 Flash offers the larger context window (1,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.