GPT-5.6 Luna Pro (batch) is $1.15 cheaper per 1M input tokens (92% lower; 12.5x difference).
API cost decision in 10 seconds
Muse Spark 1.2 vs GPT-5.6 Luna Pro (batch)
Pick GPT-5.6 Luna Pro (batch) when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-5.6 Luna Pro (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $3.38 for Muse Spark 1.2, saving $2.98 (88.1% lower).
Cost-first pickGPT-5.6 Luna Pro (batch)
Context-first pickGPT-5.6 Luna Pro (batch)
Sample savings$2.9888.1%
10x traffic gap$29.75
GPT-5.6 Luna Pro (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $29.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-5.6 Luna Pro (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Muse Spark 1.2 | GPT-5.6 Luna Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.6 Luna Pro (batch) | $8.38 | $0.8 |
| Balanced workload | 1M input + 1M output | GPT-5.6 Luna Pro (batch) | $5.5 | $0.7 |
| Output-heavy chatbot | 1M input + 5M output | GPT-5.6 Luna Pro (batch) | $22.5 | $3.1 |
GPT-5.6 Luna Pro (batch) is $3.65 cheaper per 1M output tokens (85.9% lower; 7.08x difference).
GPT-5.6 Luna Pro (batch) has 1.42K more context (1x larger).
GPT-5.6 Luna Pro (batch) is $2.98 cheaper on the standard workload (88.1% 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-5.6 Luna Pro (batch) has the lower input price; GPT-5.6 Luna Pro (batch) has the lower output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna Pro (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $3.38 for Muse Spark 1.2 and $0.4 for GPT-5.6 Luna Pro (batch).
Choose Muse Spark 1.2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose GPT-5.6 Luna Pro (batch) when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $3.38 for Muse Spark 1.2, saving $2.98 (88.1% lower).
- GPT-5.6 Luna Pro (batch) is $2.98 cheaper on the standard workload (88.1% lower).
- GPT-5.6 Luna Pro (batch) is $1.15 cheaper per 1M input tokens (92% lower; 12.5x difference).
- GPT-5.6 Luna Pro (batch) is $3.65 cheaper per 1M output tokens (85.9% lower; 7.08x difference).
- GPT-5.6 Luna Pro (batch) has 1.42K more context (1x larger).
| Feature | Muse Spark 1.2 (Meta) | GPT-5.6 Luna Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $0.1 |
| Completion Price per 1M tokens | $4.25 | $0.6 |
| Sample Workload Cost 1M input + 500K output | $3.38 | $0.4 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-5.6 Luna Pro (batch) | On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $3.38 for Muse Spark 1.2, saving $2.98 (88.1% lower). |
| High-volume input processing | GPT-5.6 Luna Pro (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-5.6 Luna Pro (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Luna Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Llama 3.3 70B Instruct (free) can replace Muse Spark 1.2 when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Spark 1.2 when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Muse Spark 1.2 when lower sample workload cost matters most: $0.09.
- Llama 3.2 1B Instruct can replace Muse Spark 1.2 when lower sample workload cost matters most: $0.13.
- 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.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
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- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open OpenAI modelsMuse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode