Gemini Omni 1.1 Flash vs GPT-6.1 Terra

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

Google1.1 Flash

Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
131 K tokens
Max output
66 K
Input, $ per 1M tokens
$1.50
Output, $ per 1M tokens
$9.00
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
No
Released
▲11/04/2026
Knowledge cutoff
—
API id
google/gemini-omni-1.1-flash
OpenAIGPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1.1 M tokens
Max output
▲128 K
Input, $ per 1M tokens
▲$1.00
Output, $ per 1M tokens
▲$5.00
Cache read, $ per 1M
$0.050
Batch (input / output)
$0.500 / $2.50
Tool calling
Yes
Released
10/26/2026
Knowledge cutoff
2026-06-01
API id
openai/gpt-6.1-terra
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Gemini Omni 1.1 Flash vs GPT-6.1 Terra?

  • GPT-6.1 Terra: cheapest input (33% less than Gemini Omni 1.1 Flash)
  • GPT-6.1 Terra: cheapest output
  • GPT-6.1 Terra: largest context (1.1 M)
  • Gemini Omni 1.1 Flash: the newest (11/04/2026)
  • GPT-6.1 Terra: most reasoning (estimated)
  • Gemini Omni 1.1 Flash: the fastest (estimated)

GPT-6.1 Terra costs 33% less on input and 44% less on output than Gemini Omni 1.1 Flash ($1.00 / $5.00 versus $1.50 / $9.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Gemini Omni 1.1 Flash
$58.50/mo
GPT-6.1 Terra
$35.00/mo

With GPT-6.1 Terra you save $23.50 a month versus Gemini Omni 1.1 Flash (40% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
  6. 6Ministral 3 3B 2512 Mistral$1.90

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Claude Haiku 5.5 Anthropic$0.008
  2. 2GPT-6.1 Terra OpenAI$0.076
  3. 3Gemini Omni 1.1 Flash Google$0.114
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: Gemini Omni 1.1 Flash vs GPT-6.1 Terra?

GPT-6.1 Terra costs 33% less on input and 44% less on output than Gemini Omni 1.1 Flash ($1.00 / $5.00 versus $1.50 / $9.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: Gemini Omni 1.1 Flash and GPT-6.1 Terra?

GPT-6.1 Terra is cheaper: $1.00 per million input tokens and $5.00 per million output tokens, versus $1.50 / $9.00 for Gemini Omni 1.1 Flash.

Which has more context: Gemini Omni 1.1 Flash and GPT-6.1 Terra?

GPT-6.1 Terra accepts 1.1 M tokens of context; Gemini Omni 1.1 Flash accepts 131 K.

Which is newer: Gemini Omni 1.1 Flash and GPT-6.1 Terra?

Gemini Omni 1.1 Flash was released on 11/04/2026; GPT-6.1 Terra on 10/26/2026.

What would 10,000 requests a month cost with Gemini Omni 1.1 Flash and GPT-6.1 Terra?

With 1,500 input and 400 output tokens per request: Gemini Omni 1.1 Flash: $58.50; GPT-6.1 Terra: $35.00 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.