GPT-5.6 Sol Pro (batch) is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
Muse Spark 1.2 vs GPT-5.6 Sol Pro (batch)
Pick Muse Spark 1.2 for lower cost; pick GPT-5.6 Sol Pro (batch) only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Muse Spark 1.2 for lower cost; pick GPT-5.6 Sol Pro (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $0.12 (3.6% lower).
Cost-first pickMuse Spark 1.2
Context-first pickGPT-5.6 Sol Pro (batch)
Sample savings$0.123.6%
10x traffic gap$1.25
GPT-5.6 Sol Pro (batch) has more context, but Muse Spark 1.2 saves $0.12 on the standard workload. At 10x that traffic, the same price gap is about $1.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Sol Pro (batch), balanced workload favors Muse Spark 1.2, and output-heavy chatbot favors Muse Spark 1.2.
| Workload shape | Token mix | Better pick | Muse Spark 1.2 | GPT-5.6 Sol Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.6 Sol Pro (batch) | $8.38 | $7.5 |
| Balanced workload | 1M input + 1M output | Muse Spark 1.2 | $5.5 | $6 |
| Output-heavy chatbot | 1M input + 5M output | Muse Spark 1.2 | $22.5 | $26 |
Muse Spark 1.2 is $0.75 cheaper per 1M output tokens (15% lower; 1.18x difference).
GPT-5.6 Sol Pro (batch) has 1.42K more context (1x larger).
Muse Spark 1.2 is $0.12 cheaper on the standard workload (3.6% 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 Sol Pro (batch) has the lower input price; Muse Spark 1.2 has the lower output price; GPT-5.6 Sol Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, Muse Spark 1.2 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 $3.5 for GPT-5.6 Sol Pro (batch).
Choose Muse Spark 1.2 when you care most about lower output-token price.
Choose GPT-5.6 Sol Pro (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $0.12 (3.6% lower).
- Muse Spark 1.2 is $0.12 cheaper on the standard workload (3.6% lower).
- GPT-5.6 Sol Pro (batch) is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
- Muse Spark 1.2 is $0.75 cheaper per 1M output tokens (15% lower; 1.18x difference).
- GPT-5.6 Sol Pro (batch) has 1.42K more context (1x larger).
| Feature | Muse Spark 1.2 (Meta) | GPT-5.6 Sol Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $1 |
| Completion Price per 1M tokens | $4.25 | $5 |
| Sample Workload Cost 1M input + 500K output | $3.38 | $3.5 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Muse Spark 1.2 | On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $0.12 (3.6% lower). |
| High-volume input processing | GPT-5.6 Sol Pro (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Muse Spark 1.2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Sol 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 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), 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