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Model comparison
DeepSeek's DeepSeek V4.1 Flash 1017 against Xiaomi's MiMo-V2.6-Pro: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
DeepSeek V4.1 Flash 1017 lists at $0.262 per million tokens blended against $0.544 for MiMo-V2.6-Pro - 2.1x less.
MiMo-V2.6-Pro scores 46 on the intelligence index against 40 - 7 points apart.
MiMo-V2.6-Pro reads 1.1M tokens at once, DeepSeek V4.1 Flash 1017 1.0M.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Pro |
|---|---|---|
| Input price / 1M tokens | $0.15 | $0.43 |
| Output price / 1M tokens | $0.60 | $0.87 |
| Blended (3 in : 1 out) | $0.26 | $0.54 |
| Cached input / 1M | $0.003 | $0.004 |
| Context window | 1.0M | 1.1M |
| Max output | 393K | 131K |
| Input | text, image | text, image, video, audio |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 40 | 46 |
| Coding index | - | - |
| Agentic index | - | - |
| Released | Oct 17, 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 | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Pro | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $6.00 | $13.05 | $7.05 less on DeepSeek V4.1 Flash 1017 |
| Document summaries100M in, 5M out - long inputs, short answers. | $18.00 | $47.85 | $29.85 less on DeepSeek V4.1 Flash 1017 |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $21.00 | $43.50 | $22.50 less on DeepSeek V4.1 Flash 1017 |
DeepSeek V4.1 Flash 1017 takes the short and general requests - at $0.262 blended it is the default - and MiMo-V2.6-Pro 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: deepseek-v4.1-flash-1017, kind: llm, metadata: { model: deepseek/deepseek-v4.1-flash-1017 } }
- { id: mimo-v2.6-pro, kind: llm, metadata: { model: xiaomi/mimo-v2.6-pro } }
# 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: [deepseek-v4.1-flash-1017]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [mimo-v2.6-pro]
weight: 0.8Every DeepSeek and Xiaomi model, with prices, is on the vendor pages; the rankings show what the router actually picks.