API cost decision in 10 seconds

NewGemini Omni 1.2 Flash vs Ternary Bonsai 2 9B

Pick Ternary Bonsai 2 9B 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 Ternary Bonsai 2 9B when budget and context both matter.

On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $6 for Gemini Omni 1.2 Flash, saving $5.86 (97.6% lower).

Cost-first pickTernary Bonsai 2 9B
Context-first pickTernary Bonsai 2 9B
Sample savings$5.8697.6%
10x traffic gap$58.55

Ternary Bonsai 2 9B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $58.55. 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 pickGemini Omni 1.2 FlashTernary Bonsai 2 9B
Input-heavy / RAG5M input + 500K outputTernary Bonsai 2 9B$12$0.47
Balanced workload1M input + 1M outputTernary Bonsai 2 9B$10.5$0.21
Output-heavy chatbot1M input + 5M outputTernary Bonsai 2 9B$46.5$0.73
Cheaper input Ternary Bonsai 2 9B $1.5 vs $0.08 / 1M

Ternary Bonsai 2 9B is $1.42 cheaper per 1M input tokens (94.7% lower; 18.8x difference).

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

Ternary Bonsai 2 9B is $8.87 cheaper per 1M output tokens (98.6% lower; 69.2x difference).

Larger context Ternary Bonsai 2 9B 131.07K vs 262.14K

Ternary Bonsai 2 9B has 131.07K more context (2x larger).

Sample workload Ternary Bonsai 2 9B $6 vs $0.15

Ternary Bonsai 2 9B is $5.86 cheaper on the standard workload (97.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini Omni 1.2 Flash 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; Ternary Bonsai 2 9B 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 $6 for Gemini Omni 1.2 Flash and $0.15 for Ternary Bonsai 2 9B.

Best Fit

Choose Gemini Omni 1.2 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Ternary Bonsai 2 9B when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ternary Bonsai 2 9B is estimated at $0.15 vs $6 for Gemini Omni 1.2 Flash, saving $5.86 (97.6% lower).
  • Ternary Bonsai 2 9B is $5.86 cheaper on the standard workload (97.6% lower).
  • Ternary Bonsai 2 9B is $1.42 cheaper per 1M input tokens (94.7% lower; 18.8x difference).
  • Ternary Bonsai 2 9B is $8.87 cheaper per 1M output tokens (98.6% lower; 69.2x difference).
  • Ternary Bonsai 2 9B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNewGemini Omni 1.2 Flash
(Google)
Ternary Bonsai 2 9B
(PrismML)
Input Price
prompt tokens per 1M
$1.5$0.08
Completion Price
per 1M tokens
$9$0.13
Sample Workload Cost
1M input + 500K output
$6$0.15
Context Window131.07K262.14K
Release Date

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 $6 for Gemini Omni 1.2 Flash, saving $5.86 (97.6% 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 workTernary Bonsai 2 9BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 26B A4B (free) can replace Gemini Omni 1.2 Flash when lower sample workload cost matters most: $0.
  • Gemma 4 31B (free) can replace Gemini Omni 1.2 Flash when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini Omni 1.2 Flash when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini Omni 1.2 Flash when lower sample workload cost matters most: $0.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

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

Open provider hubs

Google catalog

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

Open Google models

PrismML catalog

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

Open PrismML models
Gemini Omni 1.2 Flash

Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native...

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...