API cost decision in 10 seconds

🔥DeepSeek V4 Flash 0731 vs NewTernary Bonsai 2 9B

Pick Ternary Bonsai 2 9B for lower cost; pick DeepSeek V4 Flash 0731 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 9B for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $0.24 for DeepSeek V4 Flash 0731, saving $0.09 (39.1% lower).

Cost-first pickTernary Bonsai 2 9B
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.0939.1%
10x traffic gap$0.93

DeepSeek V4 Flash 0731 has more context, but Ternary Bonsai 2 9B saves $0.09 on the standard workload. At 10x that traffic, the same price gap is about $0.93. 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 9B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Flash 0731Ternary Bonsai 2 9B
Input-heavy / RAG5M input + 500K outputTernary Bonsai 2 9B$0.71$0.47
Balanced workload1M input + 1M outputTernary Bonsai 2 9B$0.36$0.21
Output-heavy chatbot1M input + 5M outputTernary Bonsai 2 9B$1.31$0.73
Cheaper input Ternary Bonsai 2 9B $0.119 vs $0.08 / 1M

Ternary Bonsai 2 9B is $0.04 cheaper per 1M input tokens (32.8% lower; 1.49x difference).

Cheaper output Ternary Bonsai 2 9B $0.238 vs $0.13 / 1M

Ternary Bonsai 2 9B is $0.11 cheaper per 1M output tokens (45.4% lower; 1.83x difference).

Larger context DeepSeek V4 Flash 0731 1.05M vs 262.14K

DeepSeek V4 Flash 0731 has 786.43K more context (4x larger).

Sample workload Ternary Bonsai 2 9B $0.24 vs $0.15

Ternary Bonsai 2 9B is $0.09 cheaper on the standard workload (39.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash 0731 Calculating… Estimated API cost
Ternary Bonsai 2 9B 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 9B has the lower input price; Ternary Bonsai 2 9B has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 9B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.24 for DeepSeek V4 Flash 0731 and $0.15 for Ternary Bonsai 2 9B.

Best Fit

Choose DeepSeek V4 Flash 0731 when you care most about larger context window.

Choose Ternary Bonsai 2 9B 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 9B is estimated at $0.15 vs $0.24 for DeepSeek V4 Flash 0731, saving $0.09 (39.1% lower).
  • Ternary Bonsai 2 9B is $0.09 cheaper on the standard workload (39.1% lower).
  • Ternary Bonsai 2 9B is $0.04 cheaper per 1M input tokens (32.8% lower; 1.49x difference).
  • Ternary Bonsai 2 9B is $0.11 cheaper per 1M output tokens (45.4% lower; 1.83x difference).
  • DeepSeek V4 Flash 0731 has 786.43K more context (4x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash 0731
(DeepSeek)
NewTernary Bonsai 2 9B
(PrismML)
Input Price
prompt tokens per 1M
$0.119$0.08
Completion Price
per 1M tokens
$0.238$0.13
Sample Workload Cost
1M input + 500K output
$0.24$0.15
Context Window1.05M262.14K
Release Date
Popularity#11

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTernary Bonsai 2 9BOn the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $0.24 for DeepSeek V4 Flash 0731, saving $0.09 (39.1% lower).
High-volume input processingTernary Bonsai 2 9BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTernary Bonsai 2 9BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash 0731A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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PrismML catalog

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DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

Ternary Bonsai 2 9B

Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...