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Model comparison
Anthropic's Claude Haiku 5.5 against Meta's Muse Spark 1.3: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Claude Haiku 5.5 lists at $0.2 per million tokens blended against $2.00 for Muse Spark 1.3 - 10x less.
Muse Spark 1.3 scores 48 on the intelligence index against 43 - 5 points apart.
Muse Spark 1.3 reads 1.0M tokens at once, Claude Haiku 5.5 1M.
Claude Haiku 5.5 was released about 1 month later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Haiku 5.5 | Muse Spark 1.3 |
|---|---|---|
| Input price / 1M tokens | $0.10 | $1.25 |
| Output price / 1M tokens | $0.50 | $4.25 |
| Blended (3 in : 1 out) | $0.20 | $2.00 |
| Cached input / 1M | $0.01 | $0.15 |
| Context window | 1M | 1.0M |
| Max output | 128K | 944K |
| Input | text, image, file | text, image, video, file |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 43 | 48 |
| Coding index | - | 76 |
| Agentic index | - | 56 |
| Released | Oct 7, 2026 | Sep 2, 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 Haiku 5.5 | Muse Spark 1.3 | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $4.50 | $46.25 | $41.75 less on Claude Haiku 5.5 |
| Document summaries100M in, 5M out - long inputs, short answers. | $12.50 | $146 | $134 less on Claude Haiku 5.5 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $16.00 | $160 | $144 less on Claude Haiku 5.5 |
Claude Haiku 5.5 takes the short and general requests - at $0.2 blended it is the default - and Muse Spark 1.3 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: claude-haiku-5.5, kind: llm, metadata: { model: anthropic/claude-haiku-5.5 } }
- { id: muse-spark-1.3, kind: llm, metadata: { model: meta/muse-spark-1.3 } }
# 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: [claude-haiku-5.5]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [muse-spark-1.3]
weight: 0.8Every Anthropic and Meta model, with prices, is on the vendor pages; the rankings show what the router actually picks.