Qwen2.5 72B Instruct
Analysis Summary
Qwen2.5 72B Instruct is a text-only model with measured results across reasoning, mathematics, coding, instruction following, long-context handling, and tool interaction. It also supports tool use and function calling, while its 32K context window covers many standard briefs and code tasks. The strongest practical differentiator is price, with low listed input and output rates that support substantial production volume.
This profile fits SEO briefs, structured content generation, classification, retrieval assistants, code review, and moderate agentic workflows where quality checks are available. It is less suitable for very long documents, complex autonomous coding, or high-stakes reasoning than newer frontier models. The 2024 release also makes it an older choice for demanding work, but its measured breadth and low cost remain compelling. Route routine and cost-sensitive traffic here, while reserving premium models for difficult client tasks.
Assessed August 9, 2026
Editorial notes
Qwen2.5 72B combines broad measured reasoning, coding, instruction following, tool use, and very low pricing, making it a capable volume model, though its 32K context and older generation limit demanding workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen2.5 72B combines broad measured reasoning, coding, instruction following, tool use, and very low pricing, making it a capable volume model, though its 32K context and older generation limit demanding workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
9.4 Intelligence Index·14 Math Index
How Qwen2.5 72B Instruct compares
Qwen2.5 72B Instruct ranks #286 of 432 AI models we track for overall intelligence. Its 33K-token context window is larger than 26% of the models we list. At $0.36 per million input tokens it is cheaper than 43% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.36 | $0.000360 |
| Output | $0.40 | $0.000400 |
What would Qwen2.5 72B Instruct cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen2.5 72B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and..
Frequently asked questions about Qwen2.5 72B Instruct
How much does Qwen2.5 72B Instruct cost?
Qwen2.5 72B Instruct costs $0.36 per million input tokens and $0.40 per million output tokens.
What is the context window of Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct has a context window of 32,768 tokens (33K).
What can Qwen2.5 72B Instruct do?
Qwen2.5 72B Instruct supports tool use and function calling.
Who created Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is developed by Qwen and was released on September 19, 2024.