Crouton Alpha is free for input tokens while Claude Haiku 5.5 (batch) costs $0.05 per 1M tokens.
API cost decision in 10 seconds
NewCrouton Alpha vs Claude Haiku 5.5 (batch)
Pick Crouton Alpha when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Crouton Alpha when budget and context both matter.
On the standard 1M input plus 500K output workload, Crouton Alpha is estimated at $0 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.17 (100% lower).
Cost-first pickCrouton Alpha
Context-first pickCrouton Alpha
Sample savings$0.17100%
10x traffic gap$1.75
Crouton Alpha is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Crouton Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Crouton Alpha | Claude Haiku 5.5 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Crouton Alpha | $0 | $0.38 |
| Balanced workload | 1M input + 1M output | Crouton Alpha | $0 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Crouton Alpha | $0 | $1.3 |
Crouton Alpha is free for output tokens while Claude Haiku 5.5 (batch) costs $0.25 per 1M tokens.
Crouton Alpha has 48.58K more context (1.05x larger).
Crouton Alpha is free for the standard workload while the other model is estimated at $0.17.
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
Crouton Alpha has the lower input price; Crouton Alpha has the lower output price; Crouton Alpha offers the larger context window. For the 1M input plus 500K output sample, Crouton Alpha is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Crouton Alpha and $0.17 for Claude Haiku 5.5 (batch).
Choose Crouton Alpha when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Claude Haiku 5.5 (batch) 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, Crouton Alpha is estimated at $0 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.17 (100% lower).
- Crouton Alpha is free for the standard workload while the other model is estimated at $0.17.
- Crouton Alpha is free for input tokens while Claude Haiku 5.5 (batch) costs $0.05 per 1M tokens.
- Crouton Alpha is free for output tokens while Claude Haiku 5.5 (batch) costs $0.25 per 1M tokens.
- Crouton Alpha has 48.58K more context (1.05x larger).
| Feature | NewCrouton Alpha (stealth) | Claude Haiku 5.5 (batch) (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.05 |
| Completion Price per 1M tokens | $0 | $0.25 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.17 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Crouton Alpha | On the standard 1M input plus 500K output workload, Crouton Alpha is estimated at $0 vs $0.17 for Claude Haiku 5.5 (batch), saving $0.17 (100% lower). |
| High-volume input processing | Crouton Alpha | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Crouton Alpha | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Crouton Alpha | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- 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.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- GLM 5.3 Flash · Z.ai · #3
- DeepSeek V4.1 Flash · DeepSeek · #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 hubsstealth catalog
Review all tracked stealth models before deciding whether this matchup is the right shortlist.
Open stealth modelsAnthropic catalog
Check other Anthropic models with comparable pricing, context, or release timing.
Open Anthropic modelsCrouton Alpha is a lightweight model built for scalable coding, agentic, and multimodal workflows. It's ideal for executing agentic sub-tasks, tool use, and document analysis in high-volume, repeated work. Developers...
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...