Stable Diffusion 3.5 Large vs GLM 5.2
At a Glance
| Compare | Stable Diffusion 3.5 LargeStability AI | GLM 5.2Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #12 of 44$0.056 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.40Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 0K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 | stable-diffusion-3.5-large | GLM-5.2 |
|---|---|---|
| Developer | Stability AI | Z.ai |
| Family | Stable Diffusion 3 5 Large | Glm 5 2 |
| Model | stable-diffusion-3.5-large | GLM-5.2 |
| Version | stable-diffusion-3.5-large | GLM-5.2 |
| Lifecycle | active | active |
| Released | 2024-10-22 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Image | Text |
| Context window | 0K | 1,049K |
| Total parameters | 8.1B | 753.3B |
| Active parameters | Unknown | Unknown |
| License | other | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Stability AI (Pay as you go) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
Stable Diffusion 3.5 Large Capabilities
GLM 5.2 Capabilities
Primary Evidence
Sources and Freshness
Questions
Stable Diffusion 3.5 Large vs GLM 5.2 FAQs
Is Stable Diffusion 3.5 Large or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Stable Diffusion 3.5 Large and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Stable Diffusion 3.5 Large or GLM 5.2?+
Only GLM 5.2 has a directly sourced input price: $0.75 per million tokens. Only GLM 5.2 has a directly sourced output price: $2.40 per million tokens.
Which has a larger context window, Stable Diffusion 3.5 Large or GLM 5.2?+
GLM 5.2 has the larger sourced context window. Stable Diffusion 3.5 Large supports 0K and GLM 5.2 supports 1,049K.
Which performs better in benchmarks, Stable Diffusion 3.5 Large or GLM 5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Stable Diffusion 3.5 Large or GLM 5.2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Stable Diffusion 3.5 Large is open weight; GLM 5.2 is open weight.
Can Stable Diffusion 3.5 Large and GLM 5.2 understand images?+
Stable Diffusion 3.5 Large is not documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Stable Diffusion 3.5 Large or GLM 5.2?+
Neither has a larger sourced maximum output. Stable Diffusion 3.5 Large is — and GLM 5.2 is —.
Do Stable Diffusion 3.5 Large and GLM 5.2 support reasoning and tool use?+
Stable Diffusion 3.5 Large: none of these features are definitively sourced. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Stable Diffusion 3.5 Large or GLM 5.2?+
Stable Diffusion 3.5 Large has 2 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Stable Diffusion 3.5 Large or GLM 5.2?+
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.