DeepSeek V3.2 vs GLM 5V Turbo
At a Glance
| Compare |  DeepSeek V3.2DeepSeek |  GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.26Deepinfra ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.38Deepinfra ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 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 | DeepSeek-V3.2 | GLM-5V-Turbo |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V3 2 | Glm 5v |
| Model | DeepSeek-V3.2 | GLM-5V-Turbo |
| Version | DeepSeek-V3.2 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2025-12-01 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 164K | 200K |
| Total parameters | 685.4B | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Z.ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, computer-use, reasoning, tools, vision |
DeepSeek V3.2 Capabilities
GLM 5V Turbo Capabilities
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DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V3.2DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V3.2 vs GLM 5V Turbo FAQs
Is DeepSeek V3.2 or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3.2 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3.2 or GLM 5V Turbo?+
Only DeepSeek V3.2 has a directly sourced input price: $0.26 per million tokens. Only DeepSeek V3.2 has a directly sourced output price: $0.38 per million tokens.
Which has a larger context window, DeepSeek V3.2 or GLM 5V Turbo?+
GLM 5V Turbo has the larger sourced context window. DeepSeek V3.2 supports 164K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, DeepSeek V3.2 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 DeepSeek V3.2 or GLM 5V Turbo be self-hosted?+
DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. DeepSeek V3.2 is open weight; GLM 5V Turbo is not marked open weight.
Can DeepSeek V3.2 and GLM 5V Turbo understand images?+
DeepSeek V3.2 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, DeepSeek V3.2 or GLM 5V Turbo?+
Neither has a larger sourced maximum output. DeepSeek V3.2 is — and GLM 5V Turbo is 131K.
Do DeepSeek V3.2 and GLM 5V Turbo support reasoning and tool use?+
DeepSeek V3.2: reasoning. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3.2 or GLM 5V Turbo?+
DeepSeek V3.2 has 3 sourced provider routes; GLM 5V Turbo has 1, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, DeepSeek V3.2 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.