Bonsai 4B vs GLM 5

At a Glance

Compare
Bonsai 4BPrismML
GLM 5Z.ai
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.60Deepinfra · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$1.92Openrouter · Aug 28, 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

FieldBonsai 4BGLM-5
DeveloperPrismMLZ.ai
FamilyBonsai 4bGlm 5
ModelBonsai 4BGLM-5
VersionBonsai 4BGLM-5
Lifecycleactiveactive
Released2026-03-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window33K203K
Total parameters4B753.9B
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 bit per weightUnknown
Weight size0.57 GBUnknown
Weight formatBinary Q1_0Unknown

Bonsai 4B Capabilities

chatgeneration
Serving providers0
Canonical IDprism-ml/Bonsai-4B

GLM 5 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5

Primary Evidence

Sources and Freshness

Questions

Bonsai 4B vs GLM 5 FAQs

Is Bonsai 4B or GLM 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai 4B and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Bonsai 4B or GLM 5?+

Only GLM 5 has a directly sourced input price: $0.60 per million tokens. Only GLM 5 has a directly sourced output price: $1.92 per million tokens.

Which has a larger context window, Bonsai 4B or GLM 5?+

GLM 5 has the larger sourced context window. Bonsai 4B supports 33K and GLM 5 supports 203K.

Which performs better in benchmarks, Bonsai 4B or GLM 5?+

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

Can Bonsai 4B or GLM 5 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Bonsai 4B is open weight; GLM 5 is open weight.

Can Bonsai 4B and GLM 5 understand images?+

Bonsai 4B is not documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Bonsai 4B or GLM 5?+

Neither has a larger sourced maximum output. Bonsai 4B is — and GLM 5 is —.

Do Bonsai 4B and GLM 5 support reasoning and tool use?+

Bonsai 4B: none of these features are definitively sourced. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Bonsai 4B or GLM 5?+

Bonsai 4B has 0 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.

Which offers better value, Bonsai 4B or GLM 5?+

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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