GPT-6.1 Sol vs GPT-6 Luna
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 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
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.500
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- $0.050 / $0.250
- Tool calling
- Yes
- Released
- 09/22/2026
- Knowledge cutoff
- 2026-05-18
- API id
- openai/gpt-6-luna
Which is the better API choice: GPT-6.1 Sol vs GPT-6 Luna?
- GPT-6 Luna: cheapest input (95% less than GPT-6.1 Sol)
- GPT-6 Luna: cheapest output
- GPT-6.1 Sol: the newest (09/29/2026)
- GPT-6.1 Sol: most reasoning (estimated)
- GPT-6 Luna: the fastest (estimated)
GPT-6 Luna costs 95% less on input and 95% less on output than GPT-6.1 Sol ($0.100 / $0.500 versus $2.00 / $10.00 per million tokens). All accept 1.1 M tokens of context. GPT-6.1 Sol and GPT-6 Luna offer 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 GPT-6 Luna you save $66.50 a month versus GPT-6.1 Sol (95% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 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)
- 1GPT-6 Luna OpenAI$0.008
- 2GPT-6.1 Sol OpenAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
- Claude Sonnet 5.5 vs GPT-6.1 Sol
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- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: GPT-6.1 Sol vs GPT-6 Luna?
GPT-6 Luna costs 95% less on input and 95% less on output than GPT-6.1 Sol ($0.100 / $0.500 versus $2.00 / $10.00 per million tokens). All accept 1.1 M tokens of context. GPT-6.1 Sol and GPT-6 Luna offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Sol and GPT-6 Luna?
GPT-6 Luna is cheaper: $0.100 per million input tokens and $0.500 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: GPT-6.1 Sol and GPT-6 Luna?
GPT-6.1 Sol and GPT-6 Luna accept the same context: 1.1 M tokens.
Which is newer: GPT-6.1 Sol and GPT-6 Luna?
GPT-6.1 Sol was released on 09/29/2026; GPT-6 Luna on 09/22/2026.
What would 10,000 requests a month cost with GPT-6.1 Sol and GPT-6 Luna?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; GPT-6 Luna: $3.50 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.