Llama 4 Scout 17B 16E Instruct vs GLM 5V Turbo
At a Glance
| Compare |  GLM 5V TurboZ.ai | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 10,000K | 200K |
| Model facts checked | Aug 28, 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 | Llama-4-Scout-17B-16E-Instruct | GLM-5V-Turbo |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Llama 4 Scout 17b 16e Instruct | Glm 5v |
| Model | Llama-4-Scout-17B-16E-Instruct | GLM-5V-Turbo |
| Version | Llama-4-Scout-17B-16E-Instruct | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 10,000K | 200K |
| Total parameters | 108.6B | Unknown |
| Active parameters | 17B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Z.ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, computer-use, reasoning, tools, vision |
Llama 4 Scout 17B 16E Instruct Capabilities
GLM 5V Turbo Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E Instruct vs GLM 5V Turbo FAQs
Is Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo?+
Only Llama 4 Scout 17B 16E Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama 4 Scout 17B 16E Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct 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 Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo be self-hosted?+
Llama 4 Scout 17B 16E Instruct is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E Instruct is open weight; GLM 5V Turbo is not marked open weight.
Can Llama 4 Scout 17B 16E Instruct and GLM 5V Turbo understand images?+
Llama 4 Scout 17B 16E Instruct 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, Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E Instruct is — and GLM 5V Turbo is 131K.
Do Llama 4 Scout 17B 16E Instruct and GLM 5V Turbo support reasoning and tool use?+
Llama 4 Scout 17B 16E Instruct: 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, Llama 4 Scout 17B 16E Instruct or GLM 5V Turbo?+
Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; GLM 5V Turbo has 1, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Llama 4 Scout 17B 16E Instruct 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.