GPT-6 Luna vs GPT-6 Sol: pricing and benchmarks
GPT-6 Luna is 95% cheaper on input tokens ($0.10 vs $2.00 per 1M). GPT-6 Luna is 95% cheaper on output tokens ($0.50 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Luna costs $55.00 a month versus $1,100 for GPT-6 Sol, 95% less. GPT-6 Sol scores 162.6 on the Epoch Capabilities Index vs 156.3 for GPT-6 Luna.
Which should you choose?
GPT-6 Sol scores 162.6 on the Epoch Capabilities Index vs 156.3 for GPT-6 Luna.
GPT-6 Sol scores 89.8% on FrontierMath (Tiers 1–3) vs 78.9% for GPT-6 Luna.
GPT-6 Luna costs $0.20 per 1M tokens (3:1 input-to-output mix) vs $4.00 for GPT-6 Sol, 95% less.
A trade-off: GPT-6 Sol is 6.2 ECI points more capable but costs 20.0x as much as GPT-6 Luna.
Pricing and specs
| GPT-6 Luna | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| API model ID | gpt-6-luna | gpt-6-sol |
| Input / 1M tokens | $0.10 | $2.00 |
| Cached input / 1M tokens | $0.01 | $0.20 |
| Output / 1M tokens | $0.50 | $10.00 |
| Long-context rates | $0.20 in / $0.75 out on long-context requests | $4.00 in / $15.00 out on long-context requests |
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 128K tokens |
| Batch discount | 50% off | 50% off |
Benchmarks
| GPT-6 Luna | GPT-6 Sol | |
|---|---|---|
| Epoch Capabilities Index | 156.3 | 162.6 |
| GPQA Diamond· Science reasoning | 90.5% | 94.3% |
| FrontierMath (Tiers 1–3)· Advanced math | 78.9% | 89.8% |
| SimpleQA Verified· Factual accuracy | 41.4% | 60.7% |
| ARC-AGI-2· Abstract reasoning | 59.3% | 89.6% |
| DeepSWE· Coding | — | — |
| APEX-Agents· Agentic work | 44.3% | 54.3% |
Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks
Monthly cost for real workloads
| Workload | GPT-6 Luna | GPT-6 Sol | Difference |
|---|---|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $35.00 | $700.00 | GPT-6 Luna 95% cheaper |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $55.00 | $1,100 | GPT-6 Luna 95% cheaper |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $24.80 | $496.00 | GPT-6 Luna 95% cheaper |
Cached chatbot The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache. | $26.90 | $538.00 | GPT-6 Luna 95% cheaper |
Meeting notes 10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each. | $17.00 | $340.00 | GPT-6 Luna 95% cheaper |
Bulk translation 200,000 short translations a month, ~800 input and ~800 output tokens each. | $96.00 | $1,920 | GPT-6 Luna 95% cheaper |
Content moderation 1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each. | $80.00 | $1,600 | GPT-6 Luna 95% cheaper |
Article drafting 300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each. | $0.87 | $17.40 | GPT-6 Luna 95% cheaper |
Code review bot 30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens. | $21.45 | $429.00 | GPT-6 Luna 95% cheaper |
Invoice extraction 100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each. | $24.50 | $490.00 | GPT-6 Luna 95% cheaper |
Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.
GPT-6 Luna vs GPT-6 Sol cost calculator
- $55.00/mo$0.0011 / req
- GPT-6 SolOpenAI$1,100/mo$0.02 / req
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.
GPT-6 Luna pricing notes
OpenAI’s most efficient GPT-6 model, for focused, high-volume tasks.
- Cache writes are billed at $0.125 per 1M tokens.
- Fast mode costs 2x the standard rate; Flex costs half.
- Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
GPT-6 Sol pricing notes
OpenAI’s GPT-6 model built to power complex coding and agentic workflows.
- Cache writes are billed at $2.50 per 1M tokens.
- Fast mode costs 2x the standard rate; Flex costs half.
- Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
Frequently asked questions
- Is GPT-6 Luna cheaper than GPT-6 Sol?
- GPT-6 Luna is 95% cheaper on input tokens ($0.10 vs $2.00 per 1M). GPT-6 Luna is 95% cheaper on output tokens ($0.50 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Luna costs $55.00 a month versus $1,100 for GPT-6 Sol, 95% less.
- Which is more capable, GPT-6 Luna or GPT-6 Sol?
- GPT-6 Sol scores 162.6 on the Epoch Capabilities Index vs 156.3 for GPT-6 Luna.
- How much does GPT-6 Luna cost per 1M tokens?
- GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, and $0.01 per 1M cached input tokens on OpenAI’s standard tier.
- How much does GPT-6 Sol cost per 1M tokens?
- GPT-6 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.20 per 1M cached input tokens on OpenAI’s standard tier.
- Which has the larger context window, GPT-6 Luna or GPT-6 Sol?
- Both offer a 1.05M-token context window.