Ternary Bonsai 1.7B vs GLM 5.1

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.05Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$3.50Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens33K203K
Model facts checkedSep 18, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldTernary Bonsai 1.7BGLM-5.1
DeveloperPrismMLZ.ai
FamilyBonsai 1 7bGlm 5 1
ModelTernary Bonsai 1.7BGLM-5.1
VersionTernary Bonsai 1.7BGLM-5.1
Lifecycleactiveactive
Released2026-04-18Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window33K203K
Total parameters1.7B753.9B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableNoYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generationchat, generation, reasoning, tools
Effective bit width1.58 bits per weightUnknown
Weight size0.46 GBUnknown
Weight formatTernary Q2_0Unknown

Ternary Bonsai 1.7B Capabilities

chatgeneration
Serving providers0
Canonical IDprism-ml/Ternary-Bonsai-1.7B

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

Ternary Bonsai 1.7B vs GLM 5.1 FAQs

Is Ternary Bonsai 1.7B or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Ternary Bonsai 1.7B and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Ternary Bonsai 1.7B or GLM 5.1?+

Only GLM 5.1 has a directly sourced input price: $1.05 per million tokens. Only GLM 5.1 has a directly sourced output price: $3.50 per million tokens.

Which has a larger context window, Ternary Bonsai 1.7B or GLM 5.1?+

GLM 5.1 has the larger sourced context window. Ternary Bonsai 1.7B supports 33K and GLM 5.1 supports 203K.

Which performs better in benchmarks, Ternary Bonsai 1.7B or GLM 5.1?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Ternary Bonsai 1.7B or GLM 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Ternary Bonsai 1.7B is open weight; GLM 5.1 is open weight.

Can Ternary Bonsai 1.7B and GLM 5.1 understand images?+

Ternary Bonsai 1.7B is not documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Ternary Bonsai 1.7B or GLM 5.1?+

Neither has a larger sourced maximum output. Ternary Bonsai 1.7B is — and GLM 5.1 is —.

Do Ternary Bonsai 1.7B and GLM 5.1 support reasoning and tool use?+

Ternary Bonsai 1.7B: none of these features are definitively sourced. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Ternary Bonsai 1.7B or GLM 5.1?+

Ternary Bonsai 1.7B has 0 sourced provider routes; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.

Which offers better value, Ternary Bonsai 1.7B or GLM 5.1?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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