API cost decision in 10 seconds

NewTernary Bonsai 2 27B vs Nemotron 3.5 Content Safety

Pick Nemotron 3.5 Content Safety for lower cost; pick Ternary Bonsai 2 27B only if the larger context window matters more.

Page updated: 2026-09-18T20:07:57Z Data confirmed: 2026-09-19T18:07:50Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3.5 Content Safety for lower cost; pick Ternary Bonsai 2 27B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety is estimated at $0.3 vs $0.33 for Ternary Bonsai 2 27B, saving $0.02 (7.7% lower).

Cost-first pickNemotron 3.5 Content Safety

Context-first pickTernary Bonsai 2 27B

Sample savings$0.027.7%

10x traffic gap$0.25

Ternary Bonsai 2 27B has more context, but Nemotron 3.5 Content Safety 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.

Cost winner changes by workload shape: input-heavy / RAG favors Ternary Bonsai 2 27B, balanced workload favors Nemotron 3.5 Content Safety, and output-heavy chatbot favors Nemotron 3.5 Content Safety.

Workload shape	Token mix	Better pick	Ternary Bonsai 2 27B	Nemotron 3.5 Content Safety
Input-heavy / RAG	5M input + 500K output	Ternary Bonsai 2 27B	$0.62	$1.1
Balanced workload	1M input + 1M output	Nemotron 3.5 Content Safety	$0.57	$0.4
Output-heavy chatbot	1M input + 5M output	Nemotron 3.5 Content Safety	$2.58	$1.2

Cheaper input Ternary Bonsai 2 27B $0.075 vs $0.2 / 1M

Ternary Bonsai 2 27B is $0.12 cheaper per 1M input tokens (62.5% lower; 2.67x difference).

Cheaper output Nemotron 3.5 Content Safety $0.5 vs $0.2 / 1M

Nemotron 3.5 Content Safety is $0.3 cheaper per 1M output tokens (60% lower; 2.5x difference).

Larger context Ternary Bonsai 2 27B 262.14K vs 131.07K

Ternary Bonsai 2 27B has 131.07K more context (2x larger).

Sample workload Nemotron 3.5 Content Safety $0.33 vs $0.3

Nemotron 3.5 Content Safety is $0.02 cheaper on the standard workload (7.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Ternary Bonsai 2 27B Calculating… Estimated API cost

Nemotron 3.5 Content Safety 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; Nemotron 3.5 Content Safety has the lower output price; Ternary Bonsai 2 27B offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Content Safety is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.33 for Ternary Bonsai 2 27B and $0.3 for Nemotron 3.5 Content Safety.

Best Fit

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

Choose Nemotron 3.5 Content Safety when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety is estimated at $0.3 vs $0.33 for Ternary Bonsai 2 27B, saving $0.02 (7.7% lower).
Nemotron 3.5 Content Safety is $0.02 cheaper on the standard workload (7.7% lower).
Ternary Bonsai 2 27B is $0.12 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
Nemotron 3.5 Content Safety is $0.3 cheaper per 1M output tokens (60% lower; 2.5x difference).
Ternary Bonsai 2 27B has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	NewTernary Bonsai 2 27B (PrismML)	Nemotron 3.5 Content Safety (NVIDIA)
Input Price prompt tokens per 1M	$0.075	$0.2
Completion Price per 1M tokens	$0.5	$0.2
Sample Workload Cost 1M input + 500K output	$0.33	$0.3
Context Window	262.14K	131.07K
Release Date	2026-09-18	2026-06-04

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nemotron 3.5 Content Safety	On the standard 1M input plus 500K output workload, Nemotron 3.5 Content Safety is estimated at $0.3 vs $0.33 for Ternary Bonsai 2 27B, saving $0.02 (7.7% lower).
High-volume input processing	Ternary Bonsai 2 27B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron 3.5 Content Safety	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Ternary Bonsai 2 27B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Nemotron 3 Ultra (free) can replace Nemotron 3.5 Content Safety when lower sample workload cost matters most: $0.
Nemotron 3.5 Lightning (free) can replace Nemotron 3.5 Content Safety when lower sample workload cost matters most: $0.
Nemotron 3.5 Content Safety (free) can replace Nemotron 3.5 Content Safety when lower sample workload cost matters most: $0.
Nemotron 3 Nano Omni (free) can replace Nemotron 3.5 Content Safety when lower sample workload cost matters most: $0.

Larger context near this budget

GLM 5.3 Flash offers 1.31M context with $0.24 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.08 sample workload cost.
GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.

Popular competitors

Qwen3.8 Max (0902) · Qwen · #1
GPT-5.6 Luna · OpenAI · #2
DeepSeek V4.1 Flash · DeepSeek · #3
Hy4 preview · Tencent · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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PrismML catalog

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NVIDIA catalog

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Open NVIDIA models

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...

Nemotron 3.5 Content Safety

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...