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Ternary Bonsai 2 27B vs Qwen3.8 Flash

Ternary Bonsai 2 27B and Qwen3.8 Flash cost about the same per output token ($0.50 vs $0.47 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Ternary Bonsai 2 27B Replace Qwen3.8 Flash
P Ternary Bonsai 2 27BPrism-ml
Coding
No data
Overall
No data
Output $/M
$0.50
Qwen3.8 FlashQwen
Coding
No data
Overall
No data
Output $/M
$0.47
vs $0.50 vs $0.47 per 1M output tokens. Qwen3.8 Flash is 1.1x cheaper.

Ternary Bonsai 2 27B or Qwen3.8 Flash: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ATernary Bonsai 2 27BPrism-mlNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.8 FlashQwenNot benchmarked1 independent benchmarkNo cost per solved task

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3.8 Flash on LiveBench coding, LiveBench research and LiveBench browser. 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, Qwen3.8 Flash not benchmarked.
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 Qwen3.8 Flash $0.47 per million output tokens, 1.1x apart.
Context window
Ternary Bonsai 2 27B takes 262K tokens, Qwen3.8 Flash 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 Index1 board measured
Coding benchmarks for Ternary Bonsai 2 27B and Qwen3.8 Flash
BenchmarkTernary Bonsai 2 27BQwen3.8 FlashLeader
LiveBench codingNot measured87.4%Only Qwen3.8 Flash measured
Neither model has a result on the other 42 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for Ternary Bonsai 2 27B and Qwen3.8 Flash
BenchmarkTernary Bonsai 2 27BQwen3.8 FlashLeader
LiveBench researchNot measured74.6%Only Qwen3.8 Flash measured
LiveBench browserNot measured48.0%Only Qwen3.8 Flash measured
LiveBench long agenticNot measured37.1%Only Qwen3.8 Flash measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for Ternary Bonsai 2 27B and Qwen3.8 Flash
BenchmarkTernary Bonsai 2 27BQwen3.8 FlashLeader
LiveBench reasoningNot measured87.4%Only Qwen3.8 Flash measured
Neither model has a result on the other 22 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Web design benchmarks for Ternary Bonsai 2 27B and Qwen3.8 Flash
BenchmarkTernary Bonsai 2 27BQwen3.8 FlashLeader
LiveBench designNot measured72.8%Only Qwen3.8 Flash measured
Neither model has a result on the other 8 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Ternary Bonsai 2 27B and Qwen3.8 Flash
BenchmarkTernary Bonsai 2 27BQwen3.8 FlashLeader
LiveBench data analysisNot measured74.2%Only Qwen3.8 Flash measured
Neither model has a result on the other 47 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
Qwen3.8 Flash$0.0004Fits 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
Qwen3.8 Flash$0.0089Fits 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
Qwen3.8 Flash$0.035Fits 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 Qwen3.8 Flash
SpecificationPrismML Ternary Bonsai 2 27BQwen3.8 Flash
MakerPrism-mlQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 18, 2026August 26, 2026
Context window262K1M
Input $/Mtok$0.075$0.15
Output $/Mtok$0.50$0.47
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ternary Bonsai 2 27B better than Qwen3.8 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Ternary Bonsai 2 27B or Qwen3.8 Flash?

Ternary Bonsai 2 27B costs $0.075 per million input tokens and $0.50 per million output tokens; Qwen3.8 Flash costs $0.15 and $0.47. Cost per solved task is known for neither of them.

Which has the bigger context window, Ternary Bonsai 2 27B or Qwen3.8 Flash?

Qwen3.8 Flash, with 1M tokens against 262K.

Has any benchmark tested both Ternary Bonsai 2 27B and Qwen3.8 Flash?

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3.8 Flash on LiveBench coding, LiveBench research and LiveBench browser. Compare them on price and context instead. Data as of October 22, 2026.

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