GPT-6.1 Sol vs Nano Banana 2.1
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 models
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- 09/29/2026
- Knowledge cutoff
- 2026-04-30
- API id
- openai/gpt-6.1-sol
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 66 K tokens
- Max output
- 59 K
- Input, $ per 1M tokens
- ▲$1.50
- Output, $ per 1M tokens
- ▲$7.50
- Cache read, $ per 1M
- $0.150
- Batch (input / output)
- —
- Tool calling
- No
- Released
- ▲10/06/2026
- Knowledge cutoff
- —
- API id
- google/gemini-nano-banana-2.1
Which is the better API choice: GPT-6.1 Sol vs Nano Banana 2.1?
- Nano Banana 2.1: cheapest input (25% less than GPT-6.1 Sol)
- Nano Banana 2.1: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- Nano Banana 2.1: the newest (10/06/2026)
- GPT-6.1 Sol: most reasoning (estimated)
- Nano Banana 2.1: the fastest (estimated)
Nano Banana 2.1 costs 25% less on input and 25% less on output than GPT-6.1 Sol ($1.50 / $7.50 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). GPT-6.1 Sol 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 2.1 you save $17.50 a month versus GPT-6.1 Sol (25% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Clip Preview Google$0.00
- 2Lyria 3 Pro Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4Qwen3.5-9B Qwen$1.72
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
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 2.1 Google$0.114
- 3GPT-6.1 Sol OpenAI$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Sonnet 5 Anthropic$0.152
- 6Claude Opus 5.5 Anthropic$0.304
- 7Claude Opus 5 Anthropic$0.380
- 8Claude Fable 5.1 Anthropic$0.760
Popular comparisons
- Claude Haiku 5.5 vs GPT-6.1 Sol
- Claude Haiku 5.5 vs Gemini 4 Argon
- Claude Haiku 5.5 vs DeepSeek V4.1 Flash 1017
- Claude Haiku 5.5 vs Grok 4.7
- GPT-6.1 Sol vs Gemini 4 Argon
- GPT-6.1 Sol vs DeepSeek V4.1 Flash 1017
- GPT-6.1 Sol vs Grok 4.7
- Gemini 4 Argon vs DeepSeek V4.1 Flash 1017
- Gemini 4 Argon vs Grok 4.7
- DeepSeek V4.1 Flash 1017 vs Grok 4.7
Frequently asked questions
Which is the better API choice: GPT-6.1 Sol vs Nano Banana 2.1?
Nano Banana 2.1 costs 25% less on input and 25% less on output than GPT-6.1 Sol ($1.50 / $7.50 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Sol and Nano Banana 2.1?
Nano Banana 2.1 is cheaper: $1.50 per million input tokens and $7.50 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: GPT-6.1 Sol and Nano Banana 2.1?
GPT-6.1 Sol accepts 1.1 M tokens of context; Nano Banana 2.1 accepts 66 K.
Which is newer: GPT-6.1 Sol and Nano Banana 2.1?
Nano Banana 2.1 was released on 10/06/2026; GPT-6.1 Sol on 09/29/2026.
What would 10,000 requests a month cost with GPT-6.1 Sol and Nano Banana 2.1?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Nano Banana 2.1: $52.50 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.