Bonsai 27B vs GLM 5.2

At a Glance

Compare
Bonsai 27BPrismML
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#12 of 44$0.056 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.75Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokensNot reported$2.40Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens262K1,049K
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 27BGLM-5.2
DeveloperPrismMLZ.ai
FamilyBonsai 27bGlm 5 2
ModelBonsai 27BGLM-5.2
VersionBonsai 27BGLM-5.2
Lifecycleactiveactive
Released2026-07-04Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K1,049K
Total parameters27B753.3B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableNoYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, tools, visionchat, generation, reasoning, tools
Base modelQwen3.6 27BUnknown
Effective bit width1 bit per weightUnknown
Language model size3.53 GiBUnknown
Weight formatBinary Q1_0Unknown

Bonsai 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers0
Canonical IDprism-ml/Bonsai-27B

GLM 5.2 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDzai-org/GLM-5.2

Primary Evidence

Sources and Freshness

Questions

Bonsai 27B vs GLM 5.2 FAQs

Is Bonsai 27B or GLM 5.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai 27B and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Bonsai 27B or GLM 5.2?+

Only GLM 5.2 has a directly sourced input price: $0.75 per million tokens. Only GLM 5.2 has a directly sourced output price: $2.40 per million tokens.

Which has a larger context window, Bonsai 27B or GLM 5.2?+

GLM 5.2 has the larger sourced context window. Bonsai 27B supports 262K and GLM 5.2 supports 1,049K.

Which performs better in benchmarks, Bonsai 27B or GLM 5.2?+

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

Can Bonsai 27B or GLM 5.2 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Bonsai 27B is open weight; GLM 5.2 is open weight.

Can Bonsai 27B and GLM 5.2 understand images?+

Bonsai 27B is documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Bonsai 27B or GLM 5.2?+

Neither has a larger sourced maximum output. Bonsai 27B is — and GLM 5.2 is —.

Do Bonsai 27B and GLM 5.2 support reasoning and tool use?+

Bonsai 27B: reasoning, tool calling, and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Bonsai 27B or GLM 5.2?+

Bonsai 27B has 0 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.

Which offers better value, Bonsai 27B or GLM 5.2?+

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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