Qwen3-VL-8B-Instruct vs Kimi-K2.6
Specs, VRAM requirements and download trends — updated 28 July 2026.
Qwen · A · Open weights
Params
8.8 B
Context
—
30d
7.1 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-VL-8B-Instruct | Kimi-K2.6 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 8.8 B | 1,058.6 B |
| Architecture | Qwen3VLForConditionalGeneration | KimiK25ForConditionalGeneration |
| Context length | 262,144 | 262,144 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | — | — |
| Downloads 30d | 7,092,774 | 834,406 |
| Downloads all time | 79.7 M | 7.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-10-11 | 2026-04-14 |
| API input price / 1M tokens | $0.25 | $0.65 |
| API output price / 1M tokens | $0.75 | $3.41 |
| Est. cost per 1M input + 1M output tokens | $1.00 | $4.06 |
| Cached input / 1M tokens | $0.12 | $0.15 |
| AA Intelligence Index | — | — |
| AA Coding Index | — | 61.8 |
| AA Agentic Index | — | 20.5 |
| Max output tokens | 235,929 | 235,929 |
| API providers | 1 | 16 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-VL-8B-Instruct
$1.00
Kimi-K2.6
$4.06
Qwen3-VL-8B-Instruct is 4.1× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
20.2 M805 K
Qwen3-VL-8B-Instruct
Kimi-K2.6
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-VL-8B-Instruct · fp16
21.1 GB / 24 GB
Kimi-K2.6 · fp16
814.0 GB / 24 GB