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Model profile

Ternary Bonsai 1.7B

Prism MLCurrentReleased Apr 16, 2026
Data verified
Overall Score
Coming soon
Arena Elo
Not listed
Categories Ranked
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
32K

Evidence coverage

0 of 300 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 16, 2026Methodology
Published / tracked
0 / 300
Verified
0
Provisional
0
Categories measured
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostNon-Reasoning
Confidence:
Low
1-7b

BenchLM is tracking Ternary Bonsai 1.7B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Ternary Bonsai 1.7B is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

Ternary Bonsai 1.7B sits inside the Ternary Bonsai family alongside Ternary Bonsai 8B, Ternary Bonsai 4B. This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Peer position

Exact provisional scores and ranks for the closest listed peers.

Range 45.046.0

  1. Gemini 3.1 Flash-Lite
    Google
    #6346.0
    Gemini 3.1 Flash-Lite is #63 with a score of 46.0.
    Compare
  2. DeepSeek V4 Pro Base
    DeepSeek
    Unranked46.0
    DeepSeek V4 Pro Base is Unranked with a score of 46.0.
    Compare
  3. Ternary Bonsai 1.7BCurrent model
    Prism ML
    Unranked45.0
    Ternary Bonsai 1.7B is Unranked with a score of 45.0.
  4. Mellum2-12B-A2.5B-Instruct
    JetBrains
    Unranked45.0
    Mellum2-12B-A2.5B-Instruct is Unranked with a score of 45.0.
    Compare
  5. Mistral Medium 3
    Mistral
    Unranked45.0
    Mistral Medium 3 is Unranked with a score of 45.0.
    Compare
  6. Nemotron 3 Nano Omni 30B A3B
    NVIDIA
    Unranked45.0
    Nemotron 3 Nano Omni 30B A3B is Unranked with a score of 45.0.
    Compare
  7. Soofi S 30B-A3B
    Soofi Project
    Unranked45.0
    Soofi S 30B-A3B is Unranked with a score of 45.0.
    Compare

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Ternary Bonsai Family

1-7b

Canonical Entry

Ternary Bonsai 8B

Frequently Asked Questions

How does Ternary Bonsai 1.7B perform overall in AI benchmarks?

BenchLM is tracking Ternary Bonsai 1.7B, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Is Ternary Bonsai 1.7B open source?

Yes, Ternary Bonsai 1.7B is an open weight model created by Prism ML, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to Ternary Bonsai 1.7B?

Ternary Bonsai 1.7B belongs to the Ternary Bonsai family. Related variants on BenchLM include Ternary Bonsai 8B, Ternary Bonsai 4B.

Does Ternary Bonsai 1.7B have full benchmark coverage on BenchLM?

Not yet. Ternary Bonsai 1.7B currently has 0 published benchmark scores out of the 300 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Ternary Bonsai 1.7B?

Ternary Bonsai 1.7B has a context window of 32K, which determines how much text it can process in a single interaction.

Last updated: July 16, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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