Mistral Nemo vs Ternary Bonsai 2 27B

Mistral Nemo costs 3.3x less per output token than Ternary Bonsai 2 27B ($0.15 vs $0.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Mistral Nemo Replace Ternary Bonsai 2 27B

Mistral NemoMistral AI

Coding: No data
Overall: No data
Output $/M: $0.15

P Ternary Bonsai 2 27BPrism-ml

Coding: No data
Overall: No data
Output $/M: $0.50

vs $0.15 vs $0.50 per 1M output tokens. Mistral Nemo is 3.3x cheaper.

Mistral Nemo or Ternary Bonsai 2 27B: which to pick

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

Pick Mistral Nemo for output tokens 3.3x cheaper ($0.15 vs $0.50 per million).

Model AMistral NemoMistral AINot benchmarkedNo coding benchmarkNo cost per solved task Model BTernary Bonsai 2 27BPrism-mlNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Ternary Bonsai 2 27B has none yet. 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Ternary Bonsai 2 27B
Ternary Bonsai 2 27B takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Nemo
Mistral Nemo $0.0002, Ternary Bonsai 2 27B $0.0003 per turn.
List prices

At a glance

Coding index: Mistral Nemo not benchmarked, Ternary Bonsai 2 27B 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: Mistral Nemo $0.15 against Ternary Bonsai 2 27B $0.50 per million output tokens, 3.3x apart.
Context window: Mistral Nemo takes 131K tokens, Ternary Bonsai 2 27B 262K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Intelligence benchmarks for Mistral Nemo and Ternary Bonsai 2 27B
Benchmark	Mistral Nemo	Ternary Bonsai 2 27B	Leader
Epoch Capabilities Index	118.7	Not measured	Only Mistral Nemo measured
Neither model has a result on the other 1 board here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Knowledge benchmarks for Mistral Nemo and Ternary Bonsai 2 27B
Benchmark	Mistral Nemo	Ternary Bonsai 2 27B	Leader
MMLU	65.3%	Not measured	Only Mistral Nemo measured
Neither model has a result on the other 17 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

General benchmarks for Mistral Nemo and Ternary Bonsai 2 27B
Benchmark	Mistral Nemo	Ternary Bonsai 2 27B	Leader
DTBench	48.6%	Not measured	Only Mistral Nemo measured
Neither model has a result on the other 45 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

Mistral Nemo$0.0002Fits in one request

Ternary Bonsai 2 27B$0.0003Fits in one request

Mistral Nemo costs less

Repository review

50K input + 3K output tokens

Mistral Nemo$0.0080Fits in one request

Ternary Bonsai 2 27B$0.0053Fits in one request

Ternary Bonsai 2 27B costs less

Agent loop

200K input + 10K output tokens

Mistral Nemo$0.032Exceeds the context window

Ternary Bonsai 2 27B$0.020Fits 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 Mistral Nemo and Ternary Bonsai 2 27B
Specification	Mistral Nemo	PrismML Ternary Bonsai 2 27B
Maker	Mistral AI	Prism-ml
Weights	Open weights	Open weights
Released	July 19, 2024	September 18, 2026
Context window	131K	262K
Input $/Mtok	$0.15	$0.075
Output $/Mtok	$0.15	$0.50
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Mistral Nemo better than Ternary Bonsai 2 27B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Nemo for output tokens 3.3x cheaper ($0.15 vs $0.50 per million).

Which is cheaper, Mistral Nemo or Ternary Bonsai 2 27B?

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

Which has the bigger context window, Mistral Nemo or Ternary Bonsai 2 27B?

Ternary Bonsai 2 27B, with 262K tokens against 131K.

Has any benchmark tested both Mistral Nemo and Ternary Bonsai 2 27B?

No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead. Data as of October 22, 2026.