API cost decision in 10 seconds

NewClaude Haiku 5.5 vs Ternary Bonsai 2 27B

Pick Ternary Bonsai 2 27B for lower cost; pick Claude Haiku 5.5 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 Ternary Bonsai 2 27B for lower cost; pick Claude Haiku 5.5 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for Claude Haiku 5.5, saving $0.02 (7.1% lower).

Cost-first pickTernary Bonsai 2 27B
Context-first pickClaude Haiku 5.5
Sample savings$0.027.1%
10x traffic gap$0.25

Claude Haiku 5.5 has more context, but Ternary Bonsai 2 27B saves $0.02 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

Same prices, different token mixes.

Ternary Bonsai 2 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Haiku 5.5Ternary Bonsai 2 27B
Input-heavy / RAG5M input + 500K outputTernary Bonsai 2 27B$0.75$0.62
Balanced workload1M input + 1M outputTernary Bonsai 2 27B$0.6$0.57
Output-heavy chatbot1M input + 5M outputTernary Bonsai 2 27B$2.6$2.58
Cheaper input Ternary Bonsai 2 27B $0.1 vs $0.075 / 1M

Ternary Bonsai 2 27B is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Tie $0.5 vs $0.5 / 1M

Both models report the same output price at $0.5 per 1M tokens.

Larger context Claude Haiku 5.5 1M vs 262.14K

Claude Haiku 5.5 has 737.86K more context (3.81x larger).

Sample workload Ternary Bonsai 2 27B $0.35 vs $0.33

Ternary Bonsai 2 27B is $0.02 cheaper on the standard workload (7.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Haiku 5.5 Calculating… Estimated API cost
Ternary Bonsai 2 27B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Ternary Bonsai 2 27B has the lower input price; both models tie on output price; Claude Haiku 5.5 offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 27B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.35 for Claude Haiku 5.5 and $0.33 for Ternary Bonsai 2 27B.

Best Fit

Choose Claude Haiku 5.5 when you care most about larger context window.

Choose Ternary Bonsai 2 27B when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for Claude Haiku 5.5, saving $0.02 (7.1% lower).
  • Ternary Bonsai 2 27B is $0.02 cheaper on the standard workload (7.1% lower).
  • Ternary Bonsai 2 27B is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Both models report the same output price at $0.5 per 1M tokens.
  • Claude Haiku 5.5 has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNewClaude Haiku 5.5
(Anthropic)
Ternary Bonsai 2 27B
(PrismML)
Input Price
prompt tokens per 1M
$0.1$0.075
Completion Price
per 1M tokens
$0.5$0.5
Sample Workload Cost
1M input + 500K output
$0.35$0.33
Context Window1M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTernary Bonsai 2 27BOn the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.35 for Claude Haiku 5.5, saving $0.02 (7.1% lower).
High-volume input processingTernary Bonsai 2 27BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTieLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Haiku 5.5A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Anthropic catalog

Review all tracked Anthropic models before deciding whether this matchup is the right shortlist.

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PrismML catalog

Check other PrismML models with comparable pricing, context, or release timing.

Open PrismML models
Claude Haiku 5.5

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...

Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...