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Model comparison
xAI's Grok 4.5 against xAI's Grok 4.7: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Both list at $3.00 per million tokens blended (3 input : 1 output).
Grok 4.5 scores 39 on the intelligence index against 35 - 4 points apart.
Grok 4.7 was released about 3 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Grok 4.5 | Grok 4.7 |
|---|---|---|
| Input price / 1M tokens | $2.00 | $2.00 |
| Output price / 1M tokens | $6.00 | $6.00 |
| Blended (3 in : 1 out) | $3.00 | $3.00 |
| Cached input / 1M | $0.30 | $0.50 |
| Context window | 500K | 500K |
| Max output | 450K | 450K |
| Input | text, image, file | text, image, file |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 39 | 35 |
| Coding index | 72 | - |
| Agentic index | 41 | - |
| Released | Jul 8, 2026 | Sep 21, 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 | Grok 4.5 | Grok 4.7 | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $70.00 | $70.00 | same |
| Document summaries100M in, 5M out - long inputs, short answers. | $230 | $230 | same |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $240 | $240 | same |
Grok 4.5 is both cheaper and stronger on the intelligence index, so with both in the catalogue the router sends it almost everything; Grok 4.7 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: grok-4.5, kind: llm, metadata: { model: x-ai/grok-4.5 } }
- { id: grok-4.7, kind: llm, metadata: { model: x-ai/grok-4.7 } }
# 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: [grok-4.5]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [grok-4.7]
weight: 0.8Every xAI and xAI model, with prices, is on the vendor pages; the rankings show what the router actually picks.