API cost decision in 10 seconds

NewTernary Bonsai 2 27B vs LongCat 2.0

Pick Ternary Bonsai 2 27B for lower cost; pick LongCat 2.0 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 Ternary Bonsai 2 27B for lower cost; pick LongCat 2.0 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 $0.9 for LongCat 2.0, saving $0.57 (63.9% lower).

Cost-first pickTernary Bonsai 2 27B

Context-first pickLongCat 2.0

Sample savings$0.5763.9%

10x traffic gap$5.75

LongCat 2.0 has more context, but Ternary Bonsai 2 27B saves $0.57 on the standard workload. At 10x that traffic, the same price gap is about $5.75. 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 shape	Token mix	Better pick	Ternary Bonsai 2 27B	LongCat 2.0
Input-heavy / RAG	5M input + 500K output	Ternary Bonsai 2 27B	$0.62	$2.1
Balanced workload	1M input + 1M output	Ternary Bonsai 2 27B	$0.57	$1.5
Output-heavy chatbot	1M input + 5M output	Ternary Bonsai 2 27B	$2.58	$6.3

Cheaper input Ternary Bonsai 2 27B $0.075 vs $0.3 / 1M

Ternary Bonsai 2 27B is $0.22 cheaper per 1M input tokens (75% lower; 4x difference).

Cheaper output Ternary Bonsai 2 27B $0.5 vs $1.2 / 1M

Ternary Bonsai 2 27B is $0.7 cheaper per 1M output tokens (58.3% lower; 2.4x difference).

Larger context LongCat 2.0 262.14K vs 1.05M

LongCat 2.0 has 786.61K more context (4x larger).

Sample workload Ternary Bonsai 2 27B $0.33 vs $0.9

Ternary Bonsai 2 27B is $0.57 cheaper on the standard workload (63.9% 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

LongCat 2.0 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; LongCat 2.0 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 $0.33 for Ternary Bonsai 2 27B and $0.9 for LongCat 2.0.

Best Fit

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

Choose LongCat 2.0 when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.9 for LongCat 2.0, saving $0.57 (63.9% lower).
Ternary Bonsai 2 27B is $0.57 cheaper on the standard workload (63.9% lower).
Ternary Bonsai 2 27B is $0.22 cheaper per 1M input tokens (75% lower; 4x difference).
Ternary Bonsai 2 27B is $0.7 cheaper per 1M output tokens (58.3% lower; 2.4x difference).
LongCat 2.0 has 786.61K more context (4x larger).

Head-to-Head Specs

Feature	NewTernary Bonsai 2 27B (PrismML)	LongCat 2.0 (Meituan)
Input Price prompt tokens per 1M	$0.075	$0.3
Completion Price per 1M tokens	$0.5	$1.2
Sample Workload Cost 1M input + 500K output	$0.33	$0.9
Context Window	262.14K	1.05M
Release Date	2026-09-18	2026-07-20

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ternary Bonsai 2 27B	On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.9 for LongCat 2.0, saving $0.57 (63.9% 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	Ternary Bonsai 2 27B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	LongCat 2.0	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

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

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

PrismML catalog

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

Open PrismML models

Meituan catalog

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

Open Meituan 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...

LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...