GPT-6.1 Sol vs Gemini 4 Argon — LLM API Cost Comparison
Compare GPT-6.1 Sol (OpenAI) vs Gemini 4 Argon (Google) on cost per million tokens, context window, and monthly spend.
Pricing data updated 2026-11-02 · Pricing may change — use the calculator for current estimates
- Input
- $2/1M tokens
- Output
- $10/1M tokens
- Context
- 1M tokens
- Released
- 2026-09
Auto-added 2026-11; set isCurrent: true after review
- Input
- $2/1M tokens
- Output
- $10/1M tokens
- Context
- 1M tokens
- Released
- 2026-10
Auto-added 2026-11; set isCurrent: true after review
Monthly Cost by Usage Tier (70% input / 30% output ratio)
| Usage | GPT-6.1 Sol | Gemini 4 Argon | Cheaper by |
|---|---|---|---|
| Light (1M tokens) | $4.40 | $4.40 | Equal |
| Moderate (10M tokens) | $44.00 | $44.00 | Equal |
| Heavy (100M tokens) | $440 | $440 | Equal |
| Very Heavy (1B tokens) | $4,400 | $4,400 | Equal |
Frequently Asked Questions
Which is cheaper — GPT-6.1 Sol or Gemini 4 Argon?
Both models have the same input rate of $2/1M tokens. Both models have the same output rate of $10/1M tokens. Total cost depends on the input and output mix.
What is the context window difference between GPT-6.1 Sol and Gemini 4 Argon?
GPT-6.1 Sol supports 1,050,000 tokens per request; Gemini 4 Argon supports 1,048,576 tokens. GPT-6.1 Sol has the longer listed context window.
When should I choose GPT-6.1 Sol over Gemini 4 Argon?
Choose GPT-6.1 Sol (OpenAI) if you prefer OpenAI's ecosystem, tooling, or reliability track record. Auto-added 2026-11; set isCurrent: true after review. Choose Gemini 4 Argon (Google) if Auto-added 2026-11; set isCurrent: true after review. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.
How much does 1 billion tokens cost on GPT-6.1 Sol vs Gemini 4 Argon?
At 700M input + 300M output tokens (1B total): GPT-6.1 Sol costs $4400; Gemini 4 Argon costs $4400. The difference is $0/billion tokens at this 70/30 input/output ratio.