Qwen2.5-72B-Instruct vs GPT-4.1 Nano

API pricing, benchmark indices and specs — updated 19 October 2026.

Qwen · A · Open weights
Params
72.7 B
Context
32,768
30d
232 K
openai · B · API-only
Input / 1M
$0.10
Output / 1M
$0.40
AA index
7.8
proprietary · 1.0M context

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-72B-Instruct GPT-4.1 Nano
Deployment Open weights · also via API API-only (closed weights)
Parameters 72.7 B n/a — API-only
Architecture Qwen2ForCausalLM n/a — API-only
Context length 32,768 1,047,576
Licence other Proprietary
Commercial use Unknown Per API terms
Languages 1 n/a — API-only
Downloads 30d 232,348 n/a — API-only
Downloads all time 9.1 M n/a — API-only
Quantizations on the Hub SAFETENSORS n/a — API-only
Gated No n/a — API-only
First seen on the Hub 2024-09-16 n/a — API-only
API input price / 1M tokens $0.36 $0.10
API output price / 1M tokens $0.40 $0.40
Est. cost per 1M input + 1M output tokens $0.76 $0.50
Cached input / 1M tokens — $0.025
AA Intelligence Index 7.7 7.8
AA Coding Index — 11.1
AA Agentic Index — —
Max output tokens 16,384 32,768
API providers 1 2
Tool calling Yes Yes
Reasoning mode No No

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Qwen2.5-72B-Instruct $0.76
GPT-4.1 Nano $0.50

GPT-4.1 Nano is 1.5× cheaper at list price.

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen2.5-72B-Instruct · fp16 171.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons