Bonsai 4B vs GLM 5.3 Flash
At a Glance
| Compare |  Bonsai 4BPrismML |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 33K | 1,000K |
| Model facts checked | Sep 18, 2026View model evidence → | Sep 2, 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
Side-by-Side Facts
| Field | Bonsai 4B | GLM-5.3-Flash |
|---|---|---|
| Developer | PrismML | Z.ai |
| Family | Bonsai 4b | Glm 5 3 Flash |
| Model | Bonsai 4B | GLM-5.3-Flash |
| Version | Bonsai 4B | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2026-03-29 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 33K | 1,000K |
| Total parameters | 4B | 320B |
| Active parameters | Unknown | 18B |
| License | apache-2.0 | MIT |
| Open weights | Yes | Yes |
| API available | No | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
| Effective bit width | 1 bit per weight | Unknown |
| Weight size | 0.57 GB | Unknown |
| Weight format | Binary Q1_0 | Unknown |
Bonsai 4B Capabilities
GLM 5.3 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
Bonsai 4B vs GLM 5.3 Flash FAQs
Is Bonsai 4B or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai 4B and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bonsai 4B or GLM 5.3 Flash?+
Only GLM 5.3 Flash has a directly sourced input price: $0.075 per million tokens. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, Bonsai 4B or GLM 5.3 Flash?+
GLM 5.3 Flash has the larger sourced context window. Bonsai 4B supports 33K and GLM 5.3 Flash supports 1,000K.
Which performs better in benchmarks, Bonsai 4B or GLM 5.3 Flash?+
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 5.3 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Bonsai 4B is open weight; GLM 5.3 Flash is open weight.
Can Bonsai 4B and GLM 5.3 Flash understand images?+
Bonsai 4B is not documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Bonsai 4B or GLM 5.3 Flash?+
Neither has a larger sourced maximum output. Bonsai 4B is — and GLM 5.3 Flash is 131K.
Do Bonsai 4B and GLM 5.3 Flash support reasoning and tool use?+
Bonsai 4B: none of these features are definitively sourced. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Bonsai 4B or GLM 5.3 Flash?+
Bonsai 4B has 0 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, Bonsai 4B or GLM 5.3 Flash?+
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.