GPT Luna Latest is $1.9 cheaper per 1M input tokens (95% lower; 20x difference).
API cost decision in 10 seconds
NewGPT-6 Sol vs GPT Luna Latest
Pick GPT Luna Latest when budget is the priority.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT Luna Latest when budget is the priority.
On the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.35 vs $7 for GPT-6 Sol, saving $6.65 (95% lower).
Cost-first pickGPT Luna Latest
Context-first pickBoth models
Sample savings$6.6595%
10x traffic gap$66.5
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $66.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT Luna Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-6 Sol | GPT Luna Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT Luna Latest | $15 | $0.75 |
| Balanced workload | 1M input + 1M output | GPT Luna Latest | $12 | $0.6 |
| Output-heavy chatbot | 1M input + 5M output | GPT Luna Latest | $52 | $2.6 |
GPT Luna Latest is $9.5 cheaper per 1M output tokens (95% lower; 20x difference).
Both models report the same context window at 1.05M tokens.
GPT Luna Latest is $6.65 cheaper on the standard workload (95% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GPT Luna Latest has the lower input price; GPT Luna Latest has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, GPT Luna Latest is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $7 for GPT-6 Sol and $0.35 for GPT Luna Latest.
Choose GPT-6 Sol when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose GPT Luna Latest when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.35 vs $7 for GPT-6 Sol, saving $6.65 (95% lower).
- GPT Luna Latest is $6.65 cheaper on the standard workload (95% lower).
- GPT Luna Latest is $1.9 cheaper per 1M input tokens (95% lower; 20x difference).
- GPT Luna Latest is $9.5 cheaper per 1M output tokens (95% lower; 20x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | NewGPT-6 Sol (OpenAI) | GPT Luna Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $0.1 |
| Completion Price per 1M tokens | $10 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $7 | $0.35 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT Luna Latest | On the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.35 vs $7 for GPT-6 Sol, saving $6.65 (95% lower). |
| High-volume input processing | GPT Luna Latest | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT Luna Latest | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-6 Sol when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-6 Sol when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-6 Sol when lower sample workload cost matters most: $0.06.
- gpt-oss-20b (batch) can replace GPT-6 Sol when lower sample workload cost matters most: $0.08.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.36 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsOpenAI catalog
Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.
Open OpenAI modelsGPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...
This model always redirects to the latest model in the GPT Luna family.