Grok 4.20 Multi Agent vs GLM 5V Turbo
At a Glance
| Compare |  GLM 5V TurboZ.ai | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.25Xai ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Xai ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 200K |
| Model facts checked | Aug 29, 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 | Grok 4.20 Multi-Agent | GLM-5V-Turbo |
|---|---|---|
| Developer | xAI | Z.ai |
| Family | Grok 4 20 | Glm 5v |
| Model | Grok 4.20 Multi-Agent | GLM-5V-Turbo |
| Version | Grok 4.20 Multi-Agent | GLM-5V-Turbo |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 200K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Xai (Standard) | Z.ai (Standard) |
| Capabilities | generation, reasoning, research, tools | agents, chat, computer-use, reasoning, tools, vision |
Grok 4.20 Multi Agent Capabilities
GLM 5V Turbo Capabilities
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Primary Evidence
Sources and Freshness
Questions
Grok 4.20 Multi Agent vs GLM 5V Turbo FAQs
Is Grok 4.20 Multi Agent or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Grok 4.20 Multi Agent and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Grok 4.20 Multi Agent or GLM 5V Turbo?+
Only Grok 4.20 Multi Agent has a directly sourced input price: $1.25 per million tokens. Only Grok 4.20 Multi Agent has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Grok 4.20 Multi Agent or GLM 5V Turbo?+
Grok 4.20 Multi Agent has the larger sourced context window. Grok 4.20 Multi Agent supports 1,000K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, Grok 4.20 Multi Agent 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 Grok 4.20 Multi Agent or GLM 5V Turbo be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Grok 4.20 Multi Agent is not marked open weight; GLM 5V Turbo is not marked open weight.
Can Grok 4.20 Multi Agent and GLM 5V Turbo understand images?+
Grok 4.20 Multi Agent 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, Grok 4.20 Multi Agent or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Grok 4.20 Multi Agent is — and GLM 5V Turbo is 131K.
Do Grok 4.20 Multi Agent and GLM 5V Turbo support reasoning and tool use?+
Grok 4.20 Multi Agent: 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, Grok 4.20 Multi Agent or GLM 5V Turbo?+
Grok 4.20 Multi Agent has 1 sourced provider route; GLM 5V Turbo has 1, a tie.
Which offers better value, Grok 4.20 Multi Agent 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.