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Model comparison
Anthropic's Claude Fable 5.1 against Z.ai's GLM 5.3: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
GLM 5.3 lists at $0.409 per million tokens blended against $20 for Claude Fable 5.1 - 49x less.
Claude Fable 5.1 scores 53 on the intelligence index against 45 - 9 points apart.
Claude Fable 5.1 scores 82 on the coding index against 75 - 7 points apart.
Claude Fable 5.1 scores 58 on the agentic index against 53 - 5 points apart.
GLM 5.3 reads 1.0M tokens at once, Claude Fable 5.1 1M.
only Claude Fable 5.1 offers image input; only GLM 5.3 offers open weights.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Fable 5.1 | GLM 5.3 |
|---|---|---|
| Input price / 1M tokens | $10.0 | $0.08 |
| Output price / 1M tokens | $50.0 | $1.40 |
| Blended (3 in : 1 out) | $20.0 | $0.41 |
| Cached input / 1M | $0.25 | $0.08 |
| Context window | 1M | 1.0M |
| Max output | 128K | 944K |
| Input | text, image, file | text |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 53 | 45 |
| Coding index | 82 | 75 |
| Agentic index | 58 | 53 |
| Released | Sep 1, 2026 | Aug 18, 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 | Claude Fable 5.1 | GLM 5.3 | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $450 | $8.58 | $441 less on GLM 5.3 |
| Document summaries100M in, 5M out - long inputs, short answers. | $1,250 | $14.90 | $1,235 less on GLM 5.3 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $1,600 | $32.74 | $1,567 less on GLM 5.3 |
GLM 5.3 takes the short and general requests - at $0.409 blended it is the default - and Claude Fable 5.1 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: glm-5.3, kind: llm, metadata: { model: z-ai/glm-5.3 } }
- { id: claude-fable-5.1, kind: llm, metadata: { model: anthropic/claude-fable-5.1 } }
# 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]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [claude-fable-5.1]
weight: 0.8Every Anthropic and Z.ai model, with prices, is on the vendor pages; the rankings show what the router actually picks.