API cost decision in 10 seconds

NewQwen3.8 Max Prime vs Ternary Bonsai 2 27B

Pick Ternary Bonsai 2 27B for lower cost; pick Qwen3.8 Max Prime 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 Qwen3.8 Max Prime 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 $10 for Qwen3.8 Max Prime, saving $9.68 (96.8% lower).

Cost-first pickTernary Bonsai 2 27B
Context-first pickQwen3.8 Max Prime
Sample savings$9.6896.8%
10x traffic gap$96.75

Qwen3.8 Max Prime has more context, but Ternary Bonsai 2 27B saves $9.68 on the standard workload. At 10x that traffic, the same price gap is about $96.75. 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 pickQwen3.8 Max PrimeTernary Bonsai 2 27B
Input-heavy / RAG5M input + 500K outputTernary Bonsai 2 27B$26$0.62
Balanced workload1M input + 1M outputTernary Bonsai 2 27B$16$0.57
Output-heavy chatbot1M input + 5M outputTernary Bonsai 2 27B$64$2.58
Cheaper input Ternary Bonsai 2 27B $4 vs $0.075 / 1M

Ternary Bonsai 2 27B is $3.92 cheaper per 1M input tokens (98.1% lower; 53.3x difference).

Cheaper output Ternary Bonsai 2 27B $12 vs $0.5 / 1M

Ternary Bonsai 2 27B is $11.5 cheaper per 1M output tokens (95.8% lower; 24x difference).

Larger context Qwen3.8 Max Prime 1M vs 262.14K

Qwen3.8 Max Prime has 737.86K more context (3.81x larger).

Sample workload Ternary Bonsai 2 27B $10 vs $0.33

Ternary Bonsai 2 27B is $9.68 cheaper on the standard workload (96.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 Max Prime 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; Ternary Bonsai 2 27B has the lower output price; Qwen3.8 Max Prime 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 $10 for Qwen3.8 Max Prime and $0.33 for Ternary Bonsai 2 27B.

Best Fit

Choose Qwen3.8 Max Prime when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $10 for Qwen3.8 Max Prime, saving $9.68 (96.8% lower).
  • Ternary Bonsai 2 27B is $9.68 cheaper on the standard workload (96.8% lower).
  • Ternary Bonsai 2 27B is $3.92 cheaper per 1M input tokens (98.1% lower; 53.3x difference).
  • Ternary Bonsai 2 27B is $11.5 cheaper per 1M output tokens (95.8% lower; 24x difference).
  • Qwen3.8 Max Prime has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNewQwen3.8 Max Prime
(Qwen)
Ternary Bonsai 2 27B
(PrismML)
Input Price
prompt tokens per 1M
$4$0.075
Completion Price
per 1M tokens
$12$0.5
Sample Workload Cost
1M input + 500K output
$10$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 $10 for Qwen3.8 Max Prime, saving $9.68 (96.8% 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 chatbotsTernary Bonsai 2 27BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 Max PrimeA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Provider catalogs

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Qwen catalog

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PrismML catalog

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Qwen3.8 Max Prime

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...

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...