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GPT-5.4 Nano vs Qwen2.5 7B Instruct
List-price comparison · GPT-5.4 Nano details · Qwen2.5 7B Instruct details
For a typical workload (100,000 requests / mo), Qwen2.5 7B Instruct costs 88% less — $8.80/mo vs $74.00/mo.
| GPT-5.4 Nano | Qwen2.5 7B Instruct | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.040 |
| Output / 1M tokens | $1.25 | $0.100 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0001 |
| Context window | 400k tokens | 131,072 tokens |
| Max output | 128k tokens | 32,768 tokens |
| Tier | Flash | Flash |
| Provider | OpenAI | Qwen |
Projected monthly cost
1,000 requests / month$0.74 vs $0.08810,000 requests / month$7.40 vs $0.88100,000 requests / month$74.00 vs $8.80
Rows open both models in the calculator — adjust volume and token counts there.
GPT-5.4 Nano
Cheapest OpenAI option for high-throughput classification, tagging, and routing — ideal as a first-pass filter before a stronger model.
Limited reasoning depth means it should be treated as a triage layer, not a final answer source, for anything business-critical.
Qwen2.5 7B Instruct
Auto-synced from OpenRouter — no editorial write-up yet.
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Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.