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Model comparison
Anthropic's Claude Opus 4.7 against inclusionAI's Ling 3.1 Flash: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Ling 3.1 Flash lists at $0.112 per million tokens blended against $10 for Claude Opus 4.7 - 89x less.
Intelligence index 41 against 41: within a point of each other.
Claude Opus 4.7 reads 1M tokens at once, Ling 3.1 Flash 262k.
only Claude Opus 4.7 offers image input.
Ling 3.1 Flash was released about 6 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Claude Opus 4.7 | Ling 3.1 Flash |
|---|---|---|
| Input price / 1M tokens | $5.00 | $0.07 |
| Output price / 1M tokens | $25.0 | $0.23 |
| Blended (3 in : 1 out) | $10.0 | $0.11 |
| Cached input / 1M | $0.50 | $0.01 |
| Context window | 1M | 262K |
| Max output | 128K | 236K |
| Input | text, image, file | text |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 41 | 41 |
| Coding index | 74 | - |
| Agentic index | 39 | - |
| Released | Apr 16, 2026 | Oct 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 Opus 4.7 | Ling 3.1 Flash | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $225 | $2.63 | $222 less on Ling 3.1 Flash |
| Document summaries100M in, 5M out - long inputs, short answers. | $625 | $8.63 | $616 less on Ling 3.1 Flash |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $800 | $9.00 | $791 less on Ling 3.1 Flash |
The two measure the same on the intelligence index, so the router treats them as peers and lets price, observed latency and your outcomes decide: Ling 3.1 Flash wins on cost, and a few bad outcomes on either move the next requests to the other.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: ling-3.1-flash, kind: llm, metadata: { model: inclusionai/ling-3.1-flash } }
- { id: claude-opus-4.7, kind: llm, metadata: { model: anthropic/claude-opus-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: [ling-3.1-flash]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [claude-opus-4.7]
weight: 0.8Every Anthropic and inclusionAI model, with prices, is on the vendor pages; the rankings show what the router actually picks.