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Model comparison
DeepSeek's DeepSeek V4 Flash Vision Exp 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.
DeepSeek V4 Flash Vision Exp lists at $0.323 per million tokens blended against $3.00 for Grok 4.7 - 9.3x less.
Intelligence index 35 against 35: within a point of each other.
DeepSeek V4 Flash Vision Exp reads 1.0M tokens at once, Grok 4.7 500k.
only DeepSeek V4 Flash Vision Exp offers open weights.
Grok 4.7 was released about 1 month later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | DeepSeek V4 Flash Vision Exp | Grok 4.7 |
|---|---|---|
| Input price / 1M tokens | $0.22 | $2.00 |
| Output price / 1M tokens | $0.65 | $6.00 |
| Blended (3 in : 1 out) | $0.32 | $3.00 |
| Cached input / 1M | $0.007 | $0.50 |
| Context window | 1.0M | 500K |
| Max output | 262K | 450K |
| Input | text, image | text, image, file |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 35 | 35 |
| Coding index | 65 | - |
| Agentic index | 48 | - |
| Released | Aug 21, 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 Flash Vision Exp | Grok 4.7 | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $7.55 | $70.00 | $62.45 less on DeepSeek V4 Flash Vision Exp |
| Document summaries100M in, 5M out - long inputs, short answers. | $24.79 | $230 | $205 less on DeepSeek V4 Flash Vision Exp |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $25.87 | $240 | $214 less on DeepSeek V4 Flash Vision Exp |
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: DeepSeek V4 Flash Vision Exp 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: deepseek-v4-flash-vision-exp, kind: llm, metadata: { model: deepseek/deepseek-v4-flash-vision-exp } }
- { 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: [deepseek-v4-flash-vision-exp]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [grok-4.7]
weight: 0.8Every DeepSeek and xAI model, with prices, is on the vendor pages; the rankings show what the router actually picks.