API models · Side by side

Gemini 4 Argon vs GPT-6.1 Sol

Compare API prices, input formats and response limits. Start with the material your application needs to process and the budget for each request.

The short answer

  • Input and output tokens have separate prices. Check any long-prompt tiers below.
  • A context allowance is a capacity limit, not evidence of answer quality or speed.
  • Tool, media and reasoning charges can affect the complete API bill.

Estimate your monthly bill

Enter your own usage. We apply each model's current rates, including long-prompt pricing, for a 30-day month.

Try:
Gemini 4 Argon$270.00per month
GPT-6.1 Sol$270.00per month

A token is roughly three-quarters of an English word. Cached input, reasoning tokens, tools and media are not included.

Compare the details

Compare context, supported inputs and usage costs. Highlighted rows show a difference.

Gemini 4 Argon vs GPT-6.1 Sol specifications
FeatureGemini 4 ArgonGPT-6.1 Sol
Input formatsaudio, file, image, text, videofile, image, text
Output formatstexttext
Context / position limit1,048,5761,050,000
Endpoint output limit (tokens)943,718128,000
Developer featuresReasoning output, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Stop sequences, Structured output, Temperature, Tool selection, Tool calling, Sampling controlsReasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Structured output, Tool selection, Tool calling, Response length
Cached input / 1M tokens$0.10$0.10
Cache write / 1M tokens$0.19$2.50
USD input / 1M tokens$2.00$2.00
USD output / 1M tokens$10.00$10.00
Available API providersUnknown3
Best provider uptime, last 24 hUnknown100%
Model identifiergoogle/gemini-4-argonopenai/gpt-6.1-sol

API pricing

Prices are in USD per million tokens. Input is what you send; output is what the model generates. Chat subscriptions and API usage are billed separately.

GPT-6.1 Sol: long-prompt rates
  • Long-prompt threshold: 272,000 prompt tokens. Input: $4.00 / 1M. Output: $15.00 / 1M.

Tools, images and additional reasoning can add charges. The examples below cover input and output tokens only.

Compare local models

What those prices mean in practice

Each example uses the same token budget for both models. These are calculations, not measured workloads. Cache discounts, media, tools and extra reasoning are excluded.

Token cost examples
WorkloadGemini 4 ArgonGPT-6.1 Sol
1,000 short requestsPer request: 2,000 input + 500 output tokens$9.00$9.00
100 document summariesPer request: 20,000 input + 1,000 output tokens$5.00$5.00
10 long-document requestsPer request: 300,000 input + 2,000 output tokens$6.20$12.30

Estimate = requests × (input tokens × input price + output tokens × output price) ÷ 1,000,000. Long-prompt rates are applied where the pricing data provides them. Real requests can use different amounts of output.

Choosing for your project

Start with the formats you need to send, then compare the context allowance and the cost examples. For an existing application, check tool calls and response formats before changing its model. A higher context limit or a lower token price does not, on its own, tell you which answer will be more useful.