Phi-4 Mini Reasoning vs GLM 5V Turbo
At a Glance
| Compare |  Phi-4 Mini ReasoningMicrosoft |  GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 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 | Phi-4-mini-reasoning | GLM-5V-Turbo |
|---|---|---|
| Developer | Microsoft | Z.ai |
| Family | Phi 4 Mini Reasoning | Glm 5v |
| Model | Phi-4-mini-reasoning | GLM-5V-Turbo |
| Version | Phi-4-mini-reasoning | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2025-04-30 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 131K | 200K |
| Total parameters | 3.8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Z.ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, computer-use, reasoning, tools, vision |
Phi-4 Mini Reasoning Capabilities
GLM 5V Turbo Capabilities
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Primary Evidence
Sources and Freshness
Questions
Phi-4 Mini Reasoning vs GLM 5V Turbo FAQs
Is Phi-4 Mini Reasoning or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Mini Reasoning and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Phi-4 Mini Reasoning or GLM 5V Turbo?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Phi-4 Mini Reasoning or GLM 5V Turbo?+
GLM 5V Turbo has the larger sourced context window. Phi-4 Mini Reasoning supports 131K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, Phi-4 Mini Reasoning 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 Phi-4 Mini Reasoning or GLM 5V Turbo be self-hosted?+
Phi-4 Mini Reasoning is the only model in this pair currently marked as self-hostable. Phi-4 Mini Reasoning is open weight; GLM 5V Turbo is not marked open weight.
Can Phi-4 Mini Reasoning and GLM 5V Turbo understand images?+
Phi-4 Mini Reasoning 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, Phi-4 Mini Reasoning or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Phi-4 Mini Reasoning is — and GLM 5V Turbo is 131K.
Do Phi-4 Mini Reasoning and GLM 5V Turbo support reasoning and tool use?+
Phi-4 Mini Reasoning: reasoning. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Phi-4 Mini Reasoning or GLM 5V Turbo?+
Phi-4 Mini Reasoning has 0 sourced provider routes; GLM 5V Turbo has 1, so GLM 5V Turbo has broader tracked availability.
Which offers better value, Phi-4 Mini Reasoning 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.