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Model comparison
DeepSeek's DeepSeek V4 Flash 0731 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.
DeepSeek V4 Flash 0731 lists at $0.149 per million tokens blended against $0.237 for GLM 5.3 Flash - 1.6x less.
GLM 5.3 Flash scores 42 on the intelligence index against 34 - 8 points apart.
GLM 5.3 Flash scores 72 on the coding index against 69 - 2 points apart.
GLM 5.3 Flash scores 51 on the agentic index against 41 - 10 points apart.
only GLM 5.3 Flash offers image input.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | DeepSeek V4 Flash 0731 | GLM 5.3 Flash |
|---|---|---|
| Input price / 1M tokens | $0.12 | $0.15 |
| Output price / 1M tokens | $0.24 | $0.50 |
| Blended (3 in : 1 out) | $0.15 | $0.24 |
| Cached input / 1M | $0.02 | $0.03 |
| Context window | 1.0M | 1.0M |
| Max output | 944K | 944K |
| Input | text | text, image, video |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 34 | 42 |
| Coding index | 69 | 72 |
| Agentic index | 41 | 51 |
| Released | Jul 31, 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 0731 | GLM 5.3 Flash | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $3.57 | $5.50 | $1.93 less on DeepSeek V4 Flash 0731 |
| Document summaries100M in, 5M out - long inputs, short answers. | $13.09 | $17.50 | $4.41 less on DeepSeek V4 Flash 0731 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $11.90 | $19.00 | $7.10 less on DeepSeek V4 Flash 0731 |
DeepSeek V4 Flash 0731 takes the short and general requests - at $0.149 blended it is the default - and GLM 5.3 Flash the ones whose complexity or quality floor rules the cheaper model out. The split is per request, not per app, and every decision carries the scores for both.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: deepseek-v4-flash-0731, kind: llm, metadata: { model: deepseek/deepseek-v4-flash-0731 } }
- { id: glm-5.3-flash, kind: llm, metadata: { model: z-ai/glm-5.3-flash } }
# 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: [deepseek-v4-flash-0731]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [glm-5.3-flash]
weight: 0.8Every DeepSeek and Z.ai model, with prices, is on the vendor pages; the rankings show what the router actually picks.