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Ternary Bonsai 2 27B vs Qwen3 Coder Next

Ternary Bonsai 2 27B costs 1.6x less per output token than Qwen3 Coder Next ($0.50 vs $0.80 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace Ternary Bonsai 2 27B Replace Qwen3 Coder Next
P Ternary Bonsai 2 27BPrism-ml
Coding
No data
Overall
No data
Output $/M
$0.50
Qwen3 Coder NextQwen
Coding
No data
Overall
No data
Output $/M
$0.80
vs $0.50 vs $0.80 per 1M output tokens. Ternary Bonsai 2 27B is 1.6x cheaper.

Ternary Bonsai 2 27B or Qwen3 Coder Next: which to pick

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

Pick Ternary Bonsai 2 27B for output tokens 1.6x cheaper ($0.50 vs $0.80 per million).

Model ATernary Bonsai 2 27BPrism-mlNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Coder NextQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3 Coder Next on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). 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 Coder Next 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 Coder Next $0.80 per million output tokens, 1.6x apart.
Context window
Both take 262K tokens.

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 Coder Next
BenchmarkTernary Bonsai 2 27BQwen3 Coder NextLeader
AA Coding IndexNot measured36.2Only Qwen3 Coder Next measured
SciCodeNot measured36.2%Only Qwen3 Coder Next measured
Terminal-Bench Hard (Artificial Analysis run)Not measured18.2%Only Qwen3 Coder Next measured
WeirdMLNot measured34.4%Only Qwen3 Coder Next measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Ternary Bonsai 2 27B and Qwen3 Coder Next
BenchmarkTernary Bonsai 2 27BQwen3 Coder NextLeader
AA Intelligence IndexNot measured9.2Only Qwen3 Coder Next measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Ternary Bonsai 2 27B and Qwen3 Coder Next
BenchmarkTernary Bonsai 2 27BQwen3 Coder NextLeader
AA Agentic IndexNot measured0.9Only Qwen3 Coder Next measured
τ²-Bench TelecomNot measured79.5%Only Qwen3 Coder Next measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Ternary Bonsai 2 27B and Qwen3 Coder Next
BenchmarkTernary Bonsai 2 27BQwen3 Coder NextLeader
GPQA Diamond (Artificial Analysis run)Not measured73.7%Only Qwen3 Coder Next measured
Humanity's Last Exam (Artificial Analysis run)Not measured10.1%Only Qwen3 Coder Next measured
Neither model has a result on the other 20 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Ternary Bonsai 2 27B and Qwen3 Coder Next
BenchmarkTernary Bonsai 2 27BQwen3 Coder NextLeader
IFBenchNot measured35.2%Only Qwen3 Coder Next measured
Long context reasoning (AA-LCR)Not measured47.0%Only Qwen3 Coder Next measured
Neither model has a result on the other 44 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 Coder Next$0.0005Fits 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 Coder Next$0.0084Fits 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 Coder Next$0.032Fits 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 Coder Next
SpecificationPrismML Ternary Bonsai 2 27BQwen3 Coder Next
MakerPrism-mlQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 18, 2026February 4, 2026
Context window262K262K
Input $/Mtok$0.075$0.12
Output $/Mtok$0.50$0.80
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ternary Bonsai 2 27B better than Qwen3 Coder Next for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Ternary Bonsai 2 27B for output tokens 1.6x cheaper ($0.50 vs $0.80 per million).

Which is cheaper, Ternary Bonsai 2 27B or Qwen3 Coder Next?

Ternary Bonsai 2 27B costs $0.075 per million input tokens and $0.50 per million output tokens; Qwen3 Coder Next costs $0.12 and $0.80. Cost per solved task is known for neither of them.

Which has the bigger context window, Ternary Bonsai 2 27B or Qwen3 Coder Next?

Neither: both take 262K tokens.

Has any benchmark tested both Ternary Bonsai 2 27B and Qwen3 Coder Next?

No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Qwen3 Coder Next on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.

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