Qwen2.5-VL-7B-Instruct vs Kimi-K2.5
Specs, VRAM requirements and download trends — updated 28 July 2026.
Qwen · A · Open weights
Params
8.3 B
Context
128,000
30d
6.0 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-VL-7B-Instruct | Kimi-K2.5 |
|---|---|---|
| Deployment | Open weights | Open weights · also via API |
| Parameters | 8.3 B | 1,058.6 B |
| Architecture | Qwen2_5_VLForConditionalGeneration | KimiK25ForConditionalGeneration |
| Context length | 128,000 | 256,000 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 5,980,572 | 803,810 |
| Downloads all time | 110.1 M | 15.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-26 | 2026-01-01 |
| API input price / 1M tokens | not on OpenRouter | $0.53 |
| API output price / 1M tokens | not on OpenRouter | $3.33 |
| Est. cost per 1M input + 1M output tokens | not on OpenRouter | $3.86 |
| Cached input / 1M tokens | not on OpenRouter | $0.21 |
| AA Intelligence Index | not on OpenRouter | — |
| AA Coding Index | not on OpenRouter | 46.8 |
| AA Agentic Index | not on OpenRouter | — |
| Max output tokens | not on OpenRouter | 65,536 |
| API providers | not on OpenRouter | 5 |
| Tool calling | not on OpenRouter | Yes |
| Reasoning mode | not on OpenRouter | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Kimi-K2.5
$3.86
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
9.6 M804 K
Qwen2.5-VL-7B-Instruct
Kimi-K2.5
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-VL-7B-Instruct · fp16 @ 125K ctx
38.2 GB / 24 GB
Kimi-K2.5 · fp16
814.0 GB / 24 GB
Adjacent comparisons
Qwen2.5-VL-7B-Instruct vs Qwen3-VL-8B-Instruct
Qwen3.5-9B vs Qwen2.5-VL-7B-Instruct
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen2.5-VL-7B-Instruct vs Qwen3.5-4B
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-MLX-8bit
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF