GLM-5.1 vs GLM-5V-Turbo
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | GLM-5.1 | GLM-5V-Turbo |
|---|---|---|
| Developer | Z.ai | Z.ai |
| Family | Glm 5 1 | Glm 5v |
| Model | GLM-5.1 | GLM-5V-Turbo |
| Version | GLM-5.1 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 202,752 | 200,000 |
| Total parameters | 753,864,139,008 | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, tools, vision |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
GLM-5.1 Capabilities
GLM-5V-Turbo Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Qwen3.8-FlashQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Qwen3.8-MaxQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Pixtral LargeMistral AI | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text |
Command A VisionCohere | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text |
GLM-OCRZ.ai | vs | GLM-5V-TurboZ.ai | family variantsimage, text |
Gemini 3.7 FlashGoogle DeepMind | vs | GLM-5V-TurboZ.ai | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | GLM-5V-TurboZ.ai | cross-developer peerstext |
Gemini Computer UseGoogle DeepMind | vs | GLM-5V-TurboZ.ai | cross-developer peerstext |
GLM-5Z.ai | vs | GLM-5.1Z.ai | family variantstext |
GLM-5.1Z.ai | vs | GLM-5.2Z.ai | family variantstext |
Primary Evidence
Sources and Freshness
Questions
GLM-5.1 vs GLM-5V-Turbo FAQs
Is GLM-5.1 or GLM-5V-Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GLM-5.1 and GLM-5V-Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GLM-5.1 or GLM-5V-Turbo?+
Only GLM-5.1 has a directly sourced input price: $1.05 per million tokens. Only GLM-5.1 has a directly sourced output price: $3.50 per million tokens.
Which has a larger context window, GLM-5.1 or GLM-5V-Turbo?+
GLM-5.1 has the larger sourced context window. GLM-5.1 supports 202,752 and GLM-5V-Turbo supports 200,000.
Which performs better in benchmarks, GLM-5.1 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 GLM-5.1 or GLM-5V-Turbo be self-hosted?+
GLM-5.1 is the only model in this pair currently marked as self-hostable. GLM-5.1 is open weight; GLM-5V-Turbo is not marked open weight.
Can GLM-5.1 and GLM-5V-Turbo understand images?+
GLM-5.1 is not 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, GLM-5.1 or GLM-5V-Turbo?+
Neither has a larger sourced maximum output. GLM-5.1 is — and GLM-5V-Turbo is 131,072.
Do GLM-5.1 and GLM-5V-Turbo support reasoning and tool use?+
GLM-5.1: reasoning and tool calling. GLM-5V-Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GLM-5.1 or GLM-5V-Turbo?+
GLM-5.1 has 2 sourced provider routes; GLM-5V-Turbo has 1, so GLM-5.1 has broader tracked availability.
Which offers better value, GLM-5.1 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.