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Model comparison
Anthropic's Claude Fable 5.1 against OpenAI's GPT-5.5: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
GPT-5.5 lists at $11 per million tokens blended against $20 for Claude Fable 5.1 - 1.8x less.
Claude Fable 5.1 scores 53 on the intelligence index against 38 - 15 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 36 - 22 points apart.
GPT-5.5 reads 1.1M tokens at once, Claude Fable 5.1 1M.
Claude Fable 5.1 was released about 4 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Fable 5.1 | GPT-5.5 |
|---|---|---|
| Input price / 1M tokens | $10.0 | $5.00 |
| Output price / 1M tokens | $50.0 | $30.0 |
| Blended (3 in : 1 out) | $20.0 | $11.3 |
| Cached input / 1M | $0.25 | $0.50 |
| Context window | 1M | 1.1M |
| Max output | 128K | 128K |
| Input | text, image, file | file, image, text |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 53 | 38 |
| Coding index | 82 | 75 |
| Agentic index | 58 | 36 |
| Released | Sep 1, 2026 | Apr 24, 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 | GPT-5.5 | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $450 | $250 | $200 less on GPT-5.5 |
| Document summaries100M in, 5M out - long inputs, short answers. | $1,250 | $650 | $600 less on GPT-5.5 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $1,600 | $900 | $700 less on GPT-5.5 |
GPT-5.5 takes the short and general requests - at $11 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: gpt-5.5, kind: llm, metadata: { model: openai/gpt-5.5 } }
- { 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: [gpt-5.5]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [claude-fable-5.1]
weight: 0.8Every Anthropic and OpenAI model, with prices, is on the vendor pages; the rankings show what the router actually picks.