Ternary Bonsai 2 27B vs GLM 5V Turbo
At a Glance
| Compare |  Ternary Bonsai 2 27BPrismML |  GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.075Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 200K |
| Model facts checked | Sep 18, 2026View model evidence → | Aug 29, 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 | Ternary Bonsai 2 27B | GLM-5V-Turbo |
|---|---|---|
| Developer | PrismML | Z.ai |
| Family | Bonsai 2 | Glm 5v |
| Model | Ternary Bonsai 2 27B | GLM-5V-Turbo |
| Version | Ternary Bonsai 2 27B | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2026-09-17 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 262K | 200K |
| Total parameters | 27.4B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools, vision | agents, chat, computer-use, reasoning, tools, vision |
| Base model | Qwen3.8 27B | Unknown |
| Effective bit width | 1.76 bits per weight | Unknown |
| Language model size | 5.93 GB | Unknown |
| Weight format | Ternary g128 with FP16 group scales | Unknown |
Ternary Bonsai 2 27B Capabilities
GLM 5V Turbo Capabilities
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Primary Evidence
Sources and Freshness
Questions
Ternary Bonsai 2 27B vs GLM 5V Turbo FAQs
Is Ternary Bonsai 2 27B or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ternary Bonsai 2 27B and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ternary Bonsai 2 27B or GLM 5V Turbo?+
Only Ternary Bonsai 2 27B has a directly sourced input price: $0.075 per million tokens. Only Ternary Bonsai 2 27B has a directly sourced output price: $0.50 per million tokens.
Which has a larger context window, Ternary Bonsai 2 27B or GLM 5V Turbo?+
Ternary Bonsai 2 27B has the larger sourced context window. Ternary Bonsai 2 27B supports 262K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, Ternary Bonsai 2 27B or GLM 5V Turbo?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ternary Bonsai 2 27B or GLM 5V Turbo be self-hosted?+
Ternary Bonsai 2 27B is the only model in this pair currently marked as self-hostable. Ternary Bonsai 2 27B is open weight; GLM 5V Turbo is not marked open weight.
Can Ternary Bonsai 2 27B and GLM 5V Turbo understand images?+
Ternary Bonsai 2 27B is documented with image input; GLM 5V Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ternary Bonsai 2 27B or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Ternary Bonsai 2 27B is — and GLM 5V Turbo is 131K.
Do Ternary Bonsai 2 27B and GLM 5V Turbo support reasoning and tool use?+
Ternary Bonsai 2 27B: reasoning, tool calling, and image input. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Ternary Bonsai 2 27B or GLM 5V Turbo?+
Ternary Bonsai 2 27B has 1 sourced provider route; GLM 5V Turbo has 1, a tie.
Which offers better value, Ternary Bonsai 2 27B or GLM 5V Turbo?+
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.