Both models report the same input price at $0.1 per 1M tokens.
API cost decision in 10 seconds
NewGranite 4.2 8B vs NewMuse Spark 1.2 Contributor
Pick Granite 4.2 8B for lower cost; pick Muse Spark 1.2 Contributor 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 Granite 4.2 8B for lower cost; pick Muse Spark 1.2 Contributor only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.17 vs $0.2 for Muse Spark 1.2 Contributor, saving $0.03 (12.5% lower).
Cost-first pickGranite 4.2 8B
Context-first pickMuse Spark 1.2 Contributor
Sample savings$0.0312.5%
10x traffic gap$0.25
Muse Spark 1.2 Contributor has more context, but Granite 4.2 8B saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.2 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Granite 4.2 8B | Muse Spark 1.2 Contributor |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.2 8B | $0.57 | $0.6 |
| Balanced workload | 1M input + 1M output | Granite 4.2 8B | $0.25 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.2 8B | $0.85 | $1.1 |
Granite 4.2 8B is $0.05 cheaper per 1M output tokens (25% lower; 1.33x difference).
Muse Spark 1.2 Contributor has 917.5K more context (8x larger).
Granite 4.2 8B is $0.03 cheaper on the standard workload (12.5% 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
both models tie on input price; Granite 4.2 8B has the lower output price; Muse Spark 1.2 Contributor offers the larger context window. For the 1M input plus 500K output sample, Granite 4.2 8B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Granite 4.2 8B and $0.2 for Muse Spark 1.2 Contributor.
Choose Granite 4.2 8B when you care most about lower output-token price.
Choose Muse Spark 1.2 Contributor when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.17 vs $0.2 for Muse Spark 1.2 Contributor, saving $0.03 (12.5% lower).
- Granite 4.2 8B is $0.03 cheaper on the standard workload (12.5% lower).
- Both models report the same input price at $0.1 per 1M tokens.
- Granite 4.2 8B is $0.05 cheaper per 1M output tokens (25% lower; 1.33x difference).
- Muse Spark 1.2 Contributor has 917.5K more context (8x larger).
| Feature | NewGranite 4.2 8B (IBM) | NewMuse Spark 1.2 Contributor (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.1 |
| Completion Price per 1M tokens | $0.15 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0.2 |
| Context Window | 131.07K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.2 8B | On the standard 1M input plus 500K output workload, Granite 4.2 8B is estimated at $0.17 vs $0.2 for Muse Spark 1.2 Contributor, saving $0.03 (12.5% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Granite 4.2 8B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Muse Spark 1.2 Contributor | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Granite 4.0 Micro can replace Granite 4.2 8B when lower sample workload cost matters most: $0.07.
- Granite 4.1 8B can replace Granite 4.2 8B when lower sample workload cost matters most: $0.1.
- Llama 3.3 70B Instruct (free) can replace Muse Spark 1.2 Contributor when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Spark 1.2 Contributor when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- GPT-5.6 Luna · OpenAI · #3
- Hy3 · Tencent · #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 hubsIBM catalog
Review all tracked IBM models before deciding whether this matchup is the right shortlist.
Open IBM modelsMeta catalog
Check other Meta models with comparable pricing, context, or release timing.
Open Meta modelsGranite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...