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Ternary Bonsai 2 27B vs Qwen3.5 Plus 2026-04-20

Ternary Bonsai 2 27B costs 3.6x less per output token than Qwen3.5 Plus 2026-04-20 ($0.50 vs $1.80 per million). Updated October 23, 2026; no benchmark has tested both models yet.

P Ternary Bonsai 2 27BPrism-ml
Coding
No data
Overall
No data
Output $/M
$0.50
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
vs $0.50 vs $1.80 per 1M output tokens. Ternary Bonsai 2 27B is 3.6x cheaper.

Ternary Bonsai 2 27B or Qwen3.5 Plus 2026-04-20: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; Ternary Bonsai 2 27B has none, so the two cannot be ranked on coding.

Pick Ternary Bonsai 2 27B for output tokens 3.6x cheaper ($0.50 vs $1.80 per million).

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3.5 Plus 2026-04-20 on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Ternary Bonsai 2 27B not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Ternary Bonsai 2 27B $0.50 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 3.6x apart.
Context window
Ternary Bonsai 2 27B takes 262K tokens, Qwen3.5 Plus 2026-04-20 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
Coding benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
LiveCodeBench (Vals AI)Not measured85.3%Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)Not measured15.7%Only Qwen3.5 Plus 2026-04-20 measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 39 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
Epoch Capabilities IndexNot measured146.2Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
Vending-Bench 2Not measured$1Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
GPQA DiamondNot measured87.4%Only Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)Not measured22.8%Only Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Epoch AI run)Not measured84.8%Only Qwen3.5 Plus 2026-04-20 measured
Chess puzzlesNot measured8.0%Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
AIMENot measured86.0%Only Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIMENot measured86.7%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
MMLU ProNot measured87.2%Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)Not measured85.1%Only Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)Not measured65.3%Only Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)Not measured60.8%Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
SimpleQA VerifiedNot measured25.4%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 13 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
General benchmarks for Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
BenchmarkTernary Bonsai 2 27BQwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)Not measured30.4%Only Qwen3.5 Plus 2026-04-20 measured
DTBenchNot measured80.5%Only Qwen3.5 Plus 2026-04-20 measured
LMCANot measured36.4%Only Qwen3.5 Plus 2026-04-20 measured
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 43 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Ternary Bonsai 2 27B$0.0003Fits in one request
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Ternary Bonsai 2 27B costs less

Repository review

50K input + 3K output tokens

Ternary Bonsai 2 27B$0.0053Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Ternary Bonsai 2 27B costs less

Agent loop

200K input + 10K output tokens

Ternary Bonsai 2 27B$0.020Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Ternary Bonsai 2 27B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20
SpecificationPrismML Ternary Bonsai 2 27BQwen3.5 Plus 2026-04-20
MakerPrism-mlQwen
WeightsOpen weightsNo public weights listed
ReleasedSeptember 18, 2026April 27, 2026
Context window262K1M
Input $/Mtok$0.075$0.30
Output $/Mtok$0.50$1.80
Coding indexNot benchmarked39.5
Independent measurements behind it02
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Ternary Bonsai 2 27B better than Qwen3.5 Plus 2026-04-20 for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; Ternary Bonsai 2 27B has none, so the two cannot be ranked on coding. Pick Ternary Bonsai 2 27B for output tokens 3.6x cheaper ($0.50 vs $1.80 per million).

Which is cheaper, Ternary Bonsai 2 27B or Qwen3.5 Plus 2026-04-20?

Ternary Bonsai 2 27B costs $0.075 per million input tokens and $0.50 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Ternary Bonsai 2 27B or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 262K.

Has any benchmark tested both Ternary Bonsai 2 27B and Qwen3.5 Plus 2026-04-20?

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3.5 Plus 2026-04-20 on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead. Data as of October 23, 2026.

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