Claude Haiku 5.5 (batch) is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
NewClaude Haiku 5.5 (batch) vs Granite 4.2 8B
Pick Claude Haiku 5.5 (batch) when budget and context both matter.
Budget verdict
Pick Claude Haiku 5.5 (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for Granite 4.2 8B, saving $0.01 (5.4% lower).
Claude Haiku 5.5 (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Claude Haiku 5.5 (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Claude Haiku 5.5 (batch) | Granite 4.2 8B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Claude Haiku 5.5 (batch) | $0.38 | $0.42 |
| Balanced workload | 1M input + 1M output | Claude Haiku 5.5 (batch) | $0.3 | $0.31 |
| Output-heavy chatbot | 1M input + 5M output | Claude Haiku 5.5 (batch) | $1.3 | $1.31 |
Both models report the same output price at $0.25 per 1M tokens.
Claude Haiku 5.5 (batch) has 868.93K more context (7.63x larger).
Claude Haiku 5.5 (batch) is $0.01 cheaper on the standard workload (5.4% 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
Claude Haiku 5.5 (batch) has the lower input price; both models tie on output price; Claude Haiku 5.5 (batch) offers the larger context window. For the 1M input plus 500K output sample, Claude Haiku 5.5 (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for Claude Haiku 5.5 (batch) and $0.18 for Granite 4.2 8B.
Choose Claude Haiku 5.5 (batch) when you care most about lower input-token price, and larger context window.
Choose Granite 4.2 8B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for Granite 4.2 8B, saving $0.01 (5.4% lower).
- Claude Haiku 5.5 (batch) is $0.01 cheaper on the standard workload (5.4% lower).
- Claude Haiku 5.5 (batch) is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Both models report the same output price at $0.25 per 1M tokens.
- Claude Haiku 5.5 (batch) has 868.93K more context (7.63x larger).
| Feature | NewClaude Haiku 5.5 (batch) (Anthropic) | Granite 4.2 8B (IBM) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.06 |
| Completion Price per 1M tokens | $0.25 | $0.25 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0.18 |
| Context Window | 1M | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Claude Haiku 5.5 (batch) | On the standard 1M input plus 500K output workload, Claude Haiku 5.5 (batch) is estimated at $0.17 vs $0.18 for Granite 4.2 8B, saving $0.01 (5.4% lower). |
| High-volume input processing | Claude Haiku 5.5 (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Claude Haiku 5.5 (batch) | 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.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Muse Spark 1.3 Contributor offers 1.05M context with $0.2 sample workload cost.
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Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsAnthropic catalog
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Open Anthropic modelsIBM catalog
Check other IBM models with comparable pricing, context, or release timing.
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