Qwen3.7 Plus vs GLM 5V Turbo
At a Glance
| Compare |  Qwen3.7 PlusQwen |  GLM 5V TurboZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #17 of 5763.3 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 21.1–87.8 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.32Openrouter ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.28Openrouter ↗ · Oct 19, 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 | Qwen3.7-Plus | GLM-5V-Turbo |
|---|---|---|
| Developer | Qwen | Z.ai |
| Family | Qwen3 7 Plus | Glm 5v |
| Model | Qwen3.7-Plus | GLM-5V-Turbo |
| Version | Qwen3.7-Plus | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | 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 | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) | Z.ai (Standard) |
| Capabilities | agents, chat, computer-use, reasoning, structured_outputs, tools, vision | agents, chat, computer-use, reasoning, tools, vision |
Qwen3.7 Plus Capabilities
GLM 5V Turbo Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.7-PlusQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | GLM-5.3Z.ai | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Qwen3.7-PlusQwen | vs | GLM-5.3-FlashZ.ai | cross-developer peersimage, text, video |
Seed 2.0 ProByteDance Seed | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Gemma 4 E2BGoogle DeepMind | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Muse Spark 1.3Meta | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Kimi K2.7 CodeMoonshot AI | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Qwen3 Coder PlusQwen | vs | Qwen3.7-PlusQwen | family variantstext |
Qwen3 VL PlusQwen | vs | Qwen3.7-PlusQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | Qwen3.8-FlashQwen | family variantsimage, text, video |
Primary Evidence
Sources and Freshness
Questions
Qwen3.7 Plus vs GLM 5V Turbo FAQs
Is Qwen3.7 Plus or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.7 Plus and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.7 Plus or GLM 5V Turbo?+
Only Qwen3.7 Plus has a directly sourced input price: $0.32 per million tokens. Only Qwen3.7 Plus has a directly sourced output price: $1.28 per million tokens.
Which has a larger context window, Qwen3.7 Plus or GLM 5V Turbo?+
Qwen3.7 Plus has the larger sourced context window. Qwen3.7 Plus supports 1,000,000 tokens and GLM 5V Turbo supports 200,000 tokens.
Which performs better in benchmarks, Qwen3.7 Plus 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 Qwen3.7 Plus or GLM 5V Turbo be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Qwen3.7 Plus is not marked open weight; GLM 5V Turbo is not marked open weight.
Can Qwen3.7 Plus and GLM 5V Turbo understand images?+
Qwen3.7 Plus 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, Qwen3.7 Plus or GLM 5V Turbo?+
Both models have the same sourced maximum output: 131,072 tokens each.
Do Qwen3.7 Plus and GLM 5V Turbo support reasoning and tool use?+
Qwen3.7 Plus: 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, Qwen3.7 Plus or GLM 5V Turbo?+
Qwen3.7 Plus has 4 sourced provider routes; GLM 5V Turbo has 1, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, Qwen3.7 Plus 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.