gpt-6-luna
Input price$0.1
Output price$0.5
OpenAITextVision
gpt-6-sol
gpt-6-sol is OpenAI's model at $2.00 input and $10.00 output per million tokens, with a 1050K context window. On a typical 3:1 input-to-output mix that blends to roughly $4.00 per million tokens, placing it in the premium band of the 82 models tracked here — cheaper than 23% of them.
Context window1050K
Input price$2 / 1M
Output price$10 / 1M
Output speed—
Quality score—
Data updatedUpdated Sep 2026
Price verified2026-09-23 · OpenRouter
By price, gpt-6-sol ranks 57th cheapest of 82 on input and 61st on output.. Its blended rate sits 25% above the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $450 per month on gpt-6-sol, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $480. Because output is priced 5.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1050K context window holds roughly 1,400 pages of A4 text (at ~750 tokens per page), ranking 3rd of 82 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis.
We track 14 OpenAI models, and gpt-6-sol's blended rate sits 15% below that provider's average. If your task tolerates a little less headroom, Phi-4-mini (Microsoft) blends about 99% cheaper at a quality score of 68, and is worth benchmarking first. Going the other way, qwen3.7-flash scores 82 on quality for about 99% less.
The closest model in OpenAI's line-up is gpt-4o ($2.50 input / $10.00 output, quality 88). Against it, gpt-6-sol scores 88 points lower on quality, has a 922K larger context window, costs 9% less blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $450 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $480 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $440 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $2,400 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| gpt-6-sol | OpenAI | $4.00 | — | — |
| Phi-4-miniCheaper option | Microsoft | $0.025 | 68 | -99% |
| qwen3.7-flashHigher quality | Alibaba | $0.055 | 82 | -99% |
| gpt-4oSame provider | OpenAI | $4.38 | 88 | +9% |
Best for
—
Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Long documents: a 1050K window ingests a full contract, paper or large codebase in one pass.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- High-frequency batch jobs: at $4.00 blended per million tokens, bills scale quickly at volume.
Frequently asked questions
How much does the gpt-6-sol API cost?
gpt-6-sol costs $2.00 per million input tokens and $10.00 per million output tokens. On a 3:1 input-to-output mix that blends to about $4.00 per million tokens.
What does gpt-6-sol cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $450/month, RAG document Q&A about $480/month, a coding assistant about $440/month, and batch summarization about $2,400/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the gpt-6-sol context window?
1050K tokens — roughly 1,400 pages of A4 text at ~750 tokens per page, ranking 3rd of the 82 models tracked here.
gpt-6-sol or Phi-4-mini — which is better value?
Phi-4-mini blends to about $0.025 per million tokens versus $4.00 for gpt-6-sol — roughly 99% cheaper — at a quality score of 68 against —. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with gpt-6-sol. Benchmark both on your own data before deciding.
What is gpt-6-sol best suited for?
Long documents: a 1050K window ingests a full contract, paper or large codebase in one pass. Less suitable: High-frequency batch jobs: at $4.00 blended per million tokens, bills scale quickly at volume.
How current is this gpt-6-sol pricing?
Pricing here was last verified on 2026-09-23 against OpenRouter. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against OpenAI's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
Related models
Continue by provider and use case.
View model
gpt-6-astra
Input price$10
Output price$50
gpt-5.6-sol
Input price$4
Output price$20
Pricing, speed and quality scores change over time. Confirm official documentation before production use.