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Model comparison
DeepSeek's DeepSeek V4 Flash Vision Exp against Z.ai's GLM 5.3 Flash: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
GLM 5.3 Flash lists at $0.237 per million tokens blended against $0.323 for DeepSeek V4 Flash Vision Exp - 1.4x less.
GLM 5.3 Flash scores 42 on the intelligence index against 35 - 7 points apart.
GLM 5.3 Flash scores 72 on the coding index against 65 - 7 points apart.
GLM 5.3 Flash scores 51 on the agentic index against 48 - 3 points apart.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | DeepSeek V4 Flash Vision Exp | GLM 5.3 Flash |
|---|---|---|
| Input price / 1M tokens | $0.22 | $0.15 |
| Output price / 1M tokens | $0.65 | $0.50 |
| Blended (3 in : 1 out) | $0.32 | $0.24 |
| Cached input / 1M | $0.007 | $0.03 |
| Context window | 1.0M | 1.0M |
| Max output | 262K | 944K |
| Input | text, image | text, image, video |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 35 | 42 |
| Coding index | 65 | 72 |
| Agentic index | 48 | 51 |
| Released | Aug 21, 2026 | Aug 26, 2026 |
| Available on this deployment |
List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.
| Workload | DeepSeek V4 Flash Vision Exp | GLM 5.3 Flash | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $7.55 | $5.50 | $2.05 less on GLM 5.3 Flash |
| Document summaries100M in, 5M out - long inputs, short answers. | $24.79 | $17.50 | $7.29 less on GLM 5.3 Flash |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $25.87 | $19.00 | $6.87 less on GLM 5.3 Flash |
GLM 5.3 Flash is both cheaper and stronger on the intelligence index, so with both in the catalogue the router sends it almost everything; DeepSeek V4 Flash Vision Exp earns a request only on something it alone offers - a longer context, a modality, a data boundary or a region your rules require.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: glm-5.3-flash, kind: llm, metadata: { model: z-ai/glm-5.3-flash } }
- { id: deepseek-v4-flash-vision-exp, kind: llm, metadata: { model: deepseek/deepseek-v4-flash-vision-exp } }
# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
- name: simple-requests-stay-cheap
when: { max_complexity: 0.45 }
prefer: [glm-5.3-flash]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [deepseek-v4-flash-vision-exp]
weight: 0.8Every DeepSeek and Z.ai model, with prices, is on the vendor pages; the rankings show what the router actually picks.