Gemini 4 Argon vs GPT-4o (Omni)
Compare Gemini 4 Argon vs GPT-4o (Omni) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Gemini 4 Argon charges $4.00/1M input and $20.00/1M output tokens, compared to GPT-4o (Omni) at $2.50/1M input and $10.00/1M output. GPT-4o (Omni) is 1.6x cheaper on input tokens. In reasoning benchmarks, Gemini 4 Argon holds the higher AA Intelligence Index rating. For latency-critical streaming, throughput figures are not yet measured for at least one of these models.
Full Metric & Specification Comparison
| Metric | Gemini 4 Argon | GPT-4o (Omni) | Advantage |
|---|---|---|---|
| Provider | OpenAI | - | |
| Input Token Cost (1M) | $4.000 | $2.500 | GPT-4o (Omni) |
| Output Token Cost (1M) | $20.000 | $10.000 | GPT-4o (Omni) |
| Context Window | 1,000k tokens | 128k tokens | Gemini 4 Argon |
| AA Intelligence Index | 50/100 | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 4 Argon is $4.00/1M vs GPT-4o (Omni) at $2.50/1M
- Output Token Cost: Gemini 4 Argon is $20.00/1M vs GPT-4o (Omni) at $10.00/1M
- Context Window: Gemini 4 Argon supports 1,000k tokens vs GPT-4o (Omni) with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: Gemini 4 Argon is rated Moderate vs GPT-4o (Omni) rated null
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying GPT-4o (Omni) over Gemini 4 Argon saves $97.50/mo ($1170/yr) at this volume.
Frequently Asked Questions
Is Gemini 4 Argon cheaper than GPT-4o (Omni)?
GPT-4o (Omni) is significantly more economical, charging $2.50/1M input compared to $4.00/1M for Gemini 4 Argon.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o (Omni). If you require peak reasoning accuracy and complex tool use, Gemini 4 Argon is recommended.
How does context window compare between Gemini 4 Argon and GPT-4o (Omni)?
Gemini 4 Argon offers the larger context window (1,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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