Google: Gemini 2.5 Pro vs OpenAI: GPT-6.1 Terra

Neither wins outright: Google: Gemini 2.5 Pro is the pick when you need audio input, OpenAI: GPT-6.1 Terra when cost matters at scale.

Key numbers

SpecGoogle: Gemini 2.5 ProOpenAI: GPT-6.1 Terra
ProviderGoogleOpenAI
Input price (per 1M tokens)$1.25$1.00
Output price (per 1M tokens)$10.00$5.00
Blended price (3:1 input/output)$3.44$2.00
Cheaper than … of all models we track18%25%
Context window1.0M tokens (~1,573 pages)1.1M tokens (~1,575 pages)
Larger context than … of all models80%92%
Max output per response66K tokens (~49,200 words)128K tokens (~96,000 words)
Input typestext, image, file, audio, videofile, image, text
Output typestexttext
Free variantNoNo
Listed since2025-06-172026-10-26
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Gemini 2.5 ProOpenAI: GPT-6.1 TerraDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$294$175OpenAI: GPT-6.1 Terra saves $119
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$250$170OpenAI: GPT-6.1 Terra saves $80.00
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$270$180OpenAI: GPT-6.1 Terra saves $90.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$160$110OpenAI: GPT-6.1 Terra saves $50.00
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$72.50$55.00OpenAI: GPT-6.1 Terra saves $17.50

Capabilities side by side

CapabilityGoogle: Gemini 2.5 ProOpenAI: GPT-6.1 TerraWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input✓ Yes—take speech or audio directly
File / PDF input✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes✓ Yesanswer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Google: Gemini 2.5 Pro if…

  • you need audio input — to take speech or audio directly; OpenAI: GPT-6.1 Terra does not advertise it

Choose OpenAI: GPT-6.1 Terra if…

  • cost matters at scale — it is 42% cheaper on a typical 3:1 input/output mix ($175 vs $294 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 128K tokens (about 96,000 words) per response
  • you want the newer model — released 2026-10-26, 17 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Pro better than OpenAI: GPT-6.1 Terra?

Neither wins outright: Google: Gemini 2.5 Pro is the pick when you need audio input, OpenAI: GPT-6.1 Terra when cost matters at scale. In short: Google: Gemini 2.5 Pro when you need audio input; OpenAI: GPT-6.1 Terra when cost matters at scale, you generate long outputs in one go, you want the newer model.

Which is cheaper, Google: Gemini 2.5 Pro or OpenAI: GPT-6.1 Terra?

OpenAI: GPT-6.1 Terra is cheaper: $2.00 vs $3.44 per 1M tokens at a typical 3:1 input/output mix, 42% less. For 50,000 support conversations a month that is $175 against $294.

How much do Google: Gemini 2.5 Pro and OpenAI: GPT-6.1 Terra cost per million tokens?

Google: Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens; OpenAI: GPT-6.1 Terra costs $1.00 input and $5.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 2.5 Pro or OpenAI: GPT-6.1 Terra?

OpenAI: GPT-6.1 Terra: 1.1M tokens, about 1,575 pages, against 1.0M (about 1,573 pages) for Google: Gemini 2.5 Pro.

Do Google: Gemini 2.5 Pro and OpenAI: GPT-6.1 Terra support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Pro: yes, OpenAI: GPT-6.1 Terra: yes. JSON-schema structured output — Google: Gemini 2.5 Pro: yes, OpenAI: GPT-6.1 Terra: yes.

Can Google: Gemini 2.5 Pro or OpenAI: GPT-6.1 Terra read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Pro or OpenAI: GPT-6.1 Terra free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Gemini 2.5 Pro and OpenAI: GPT-6.1 Terra?

Google: Gemini 2.5 Pro can write up to 66K tokens (about 49,200 words) per response; OpenAI: GPT-6.1 Terra up to 128K (about 96,000 words).

When were Google: Gemini 2.5 Pro and OpenAI: GPT-6.1 Terra released?

Google: Gemini 2.5 Pro was listed on 2025-06-17; OpenAI: GPT-6.1 Terra on 2026-10-26.

About the two models

Google

Google: Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Full Google: Gemini 2.5 Pro specs →

Compare Google: Gemini 2.5 Pro with other models

Compare OpenAI: GPT-6.1 Terra with other models

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