GPT-6.1 Terra vs Nano Banana (Gemini 2.5 Flash Image)
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
- 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
Gemini 2.5 Flash Image, a.k.a.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 33 K tokens
- Max output
- 8 K
- Input, $ per 1M tokens
- ▲$0.300
- Output, $ per 1M tokens
- ▲$2.50
- Cache read, $ per 1M
- $0.030
- Batch (input / output)
- —
- Tool calling
- No
- Released
- 08/26/2025
- Knowledge cutoff
- 2024-06
- API id
- google/gemini-2.5-flash-image
Which is the better API choice: GPT-6.1 Terra vs Nano Banana (Gemini 2.5 Flash Image)?
- Nano Banana (Gemini 2.5 Flash Image): cheapest input (70% less than GPT-6.1 Terra)
- Nano Banana (Gemini 2.5 Flash Image): cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
- Nano Banana (Gemini 2.5 Flash Image): the fastest (estimated)
Nano Banana (Gemini 2.5 Flash Image) costs 70% less on input and 50% less on output than GPT-6.1 Terra ($0.300 / $2.50 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra has a reasoning mode. 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.
With Nano Banana (Gemini 2.5 Flash Image) you save $20.50 a month versus GPT-6.1 Terra (59% less).
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Nano Banana (Gemini 2.5 Flash Image) Google$0.023
- 3GPT-6.1 Terra OpenAI$0.076
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: GPT-6.1 Terra vs Nano Banana (Gemini 2.5 Flash Image)?
Nano Banana (Gemini 2.5 Flash Image) costs 70% less on input and 50% less on output than GPT-6.1 Terra ($0.300 / $2.50 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra has a reasoning mode. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Terra and Nano Banana (Gemini 2.5 Flash Image)?
Nano Banana (Gemini 2.5 Flash Image) is cheaper: $0.300 per million input tokens and $2.50 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Nano Banana (Gemini 2.5 Flash Image)?
GPT-6.1 Terra accepts 1.1 M tokens of context; Nano Banana (Gemini 2.5 Flash Image) accepts 33 K.
Which is newer: GPT-6.1 Terra and Nano Banana (Gemini 2.5 Flash Image)?
GPT-6.1 Terra was released on 10/26/2026; Nano Banana (Gemini 2.5 Flash Image) on 08/26/2025.
What would 10,000 requests a month cost with GPT-6.1 Terra and Nano Banana (Gemini 2.5 Flash Image)?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Nano Banana (Gemini 2.5 Flash Image): $14.50 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.