Qwen2.5-7B-Instruct vs NVIDIA-Nemotron-3.5-Bolt-E4B-4GB
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.0 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-7B-Instruct | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB |
|---|---|---|
| Deployment | Open weights · also via API | Open weights |
| Parameters | 7.6 B | 4.0 B |
| Architecture | Qwen2ForCausalLM | — |
| Context length | 32,768 | — |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 34 |
| Downloads 30d | 6,037,480 | 132,176 |
| Downloads all time | 194.0 M | 132 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2026-10-05 |
| API input price / 1M tokens | $0.10 | not on OpenRouter |
| API output price / 1M tokens | $0.20 | not on OpenRouter |
| Est. cost per 1M input + 1M output tokens | $0.30 | not on OpenRouter |
| Cached input / 1M tokens | — | not on OpenRouter |
| AA Intelligence Index | — | not on OpenRouter |
| AA Coding Index | — | not on OpenRouter |
| AA Agentic Index | — | not on OpenRouter |
| Max output tokens | 29,491 | not on OpenRouter |
| API providers | 1 | not on OpenRouter |
| Tool calling | Yes | not on OpenRouter |
| Reasoning mode | No | not on OpenRouter |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen2.5-7B-Instruct
$0.30
Download trend
106 days of snapshots recorded — chart in 0 days.
194.0 M
Qwen2.5-7B-Instruct · all-time downloads
132 K
NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · all-time downloads
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
NVIDIA-Nemotron-3.5-Bolt-E4B-4GB · Q4_K_M
7.9 GB / 24 GB
Qwen2.5-7B-Instruct · fp16
18.4 GB / 24 GB