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GPT-6 Sol vs Gemini 3.1 Pro API Cost

GPT-6 Sol at $2/$10 against Gemini 3.1 Pro at $2/$12 per million tokens, and where each one's long-context pricing starts.

Updated · By Niraj Kumar · 6 sources

Models

Each request

Count text inCount text in
tokens

System prompt, conversation history, documents and tool definitions are all resent on every call.

tokens

The visible answer.

Count tokens from a prompt or JSON payloadShow

Plain text, OpenAI Chat or Responses JSON, or Anthropic Messages JSON. A final assistant message or a response body counts as output. Counted in your browser; nothing is uploaded.

Loading the tokenizer…

Counts use OpenAI's o200k tokenizer, so they are exact for GPT-6 and GPT-5 models, plus a few tokens of message framing. Other providers' tokenizers count the same text differently and do not publish a conversion factor; Anthropic says Claude models from 4.7 on produce about 30% more tokens than earlier Claude models. For an exact count on another model, paste one of its API responses: the usage it reports is shown above.

tokens

Thinking tokens are billed as output. Leave at 0 for models or settings that do not reason.

Volume

PricePrice

30,000 requests over 30 days.

Discounts

%
0%100%

The share of input that repeats exactly at the start of every request, such as a fixed system prompt. The prompt caching calculator prices cache writes and expiry in detail.

Batch APIBatch API
Cheaper for this workloadGPT-6 Sol8% less, saving $30.00 a month
GPT-6 Sol
$330.00 a month
$0.011 a request · 17th cheapest of 24
Gemini 3.1 Pro
$360.00 a month
$0.012 a request · 19th cheapest of 24
At 10× the volume
$300.00 a month apart
Cheapest listed model
Claude Haiku 5.5
$16.50 a month
Side by side
MeasureGPT-6 SolGemini 3.1 Pro
Input, per 1M tokens$2$2
Cache hit, per 1M tokens$0.20$0.20
Output, per 1M tokens$10$12
Context window1.05M tokens1.05M tokens
Max output128K tokens65.5K tokens
Batch discount50%50%
Long-context surchargeAbove 272K inputAbove 200K input
Input cost a month$180.00$180.00
Output cost a month$150.00$180.00
Every model on this workload, per month3,000 tokens in, 500 out, 1,000 a day. Hover or focus a row for rates.
  1. 1Claude Haiku 5.5Anthropic$16.50
  2. 2GPT-6 LunaOpenAI$16.50
  3. 3Qwen3.8 FlashAlibaba$20.55
  4. 4GPT-5.6 LunaOpenAI$36.00
  5. 5DeepSeek V4.1 FlashDeepSeek$45.00
  6. 6Qwen3.7 PlusAlibaba$60.00
  7. 7Gemini 3.5 Flash-LiteGoogle$64.50
  8. 8Gemini 3.8 FlashGoogle$123.75
  9. 9Grok 4.3xAI$150.00
  10. 10Claude Haiku 4.5Anthropic$165.00
  11. 11DeepSeek V4 ProDeepSeek$178.20
  12. 12Grok 4.7xAI$270.00
  13. 13Qwen3.8 MaxAlibaba$270.00
  14. 14Claude Sonnet 5.5Anthropic$330.00
  15. 15Claude Sonnet 5Anthropic$330.00
  16. 16GPT-6.1 SolOpenAI$330.00
  17. 17GPT-6 SolOpenAI$330.00
  18. 18GPT-5.6 TerraOpenAI$360.00
  19. 19Gemini 3.1 ProGoogle$360.00
  20. 20Claude Opus 5.5Anthropic$660.00
  21. 21GPT-5.6 SolOpenAI$660.00
  22. 22Claude Opus 5Anthropic$825.00
  23. 23Claude Fable 5.1Anthropic$1,650
  24. 24GPT-6 AstraOpenAI$1,650

How the GPT-6 Sol vs Gemini 3.1 Pro API Cost works

cost = (fresh input × input rate + cached input × cache rate + (output + reasoning) × output rate) ÷ 1,000,000

This page uses the same method as the LLM API Cost Calculator, which explains each term and assumption in full.

Worked example

A chat feature sending 3,000 input tokens and getting 500 back, 1,000 times a day, priced on both models with no caching.

  1. 1GPT-6 Sol: 3,000 × $2 + 500 × $10, ÷ 1,000,000 = $0.011 a request, $330.00 a month
  2. 2Gemini 3.1 Pro: 3,000 × $2 + 500 × $12, ÷ 1,000,000 = $0.012 a request, $360.00 a month
  3. 3Difference: $30.00 a month

GPT-6 Sol is $30.00 a month cheaper for this workload, 8% less.

Frequently asked questions

Which is cheaper, GPT-6 Sol or Gemini 3.1 Pro?

At standard list rates, GPT-6 Sol is 8% cheaper than Gemini 3.1 Pro on a typical chat request (3,000 tokens in, 500 out); GPT-6 Sol is 16% cheaper than Gemini 3.1 Pro on output-heavy generation (500 in, 2,000 out); and GPT-6 Sol is 7% cheaper than Gemini 3.1 Pro on a large cached prompt (20,000 in, 90% cached, 500 out). GPT-6 Sol charges $2 input and $10 output per million tokens; Gemini 3.1 Pro charges $2 and $12.

Which gets more expensive for long prompts, GPT-6 Sol or Gemini 3.1 Pro?

Gemini 3.1 Pro starts sooner, above 200,000 tokens, moving to $4 input and $18 output. GPT-6 Sol holds its standard rate to 272,000 tokens and then moves to $4 and $15. Between 200,000 and 272,000 tokens Sol is therefore much cheaper, and above both thresholds its output stays cheaper.

Sources

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