deepseek
Qwen2.5 72B Instruct vs DeepSeek V4 Flash Vision Exp
76.8 overall · $0.330 / 1M
// qwen
Qwen2.5 72B Instruct
qwen/qwen-2.5-72b-instruct
tool calling
Qwen2.5 72B Instruct costs $0.360 per 1M input tokens and $0.400 per 1M output tokens with a 33K-token context window.
A tool-calling model from qwen, released Sep 19, 2024. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.360
- Output / 1M
- $0.400
- Context
- 33K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.360 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.400 |
| Blended price 3:1 input:output — #110 cheapest of 343 listed models | $0.370 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 32,768 tokens |
| Max output | 16,384 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2024-06-30 |
| Listed | Sep 19, 2024 |
What Qwen2.5 72B Instruct costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $118.40/mo |
| RAG assistant 8K in / 600 out × 100K requests | $312.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $320.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $390.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $940.00/mo |
Compare Qwen2.5 72B Instruct with
Benchmarked models at a similar price.
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69.6 overall · $0.463 / 1M
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Qwen2.5 72B Instruct vs MiniMax M3
67.3 overall · $0.525 / 1M
z-ai
Qwen2.5 72B Instruct vs GLM 5.3 Flash
71.6 overall · $0.237 / 1M
openai
Qwen2.5 72B Instruct vs GPT-6 Luna
72.0 overall · $0.200 / 1M
Qwen2.5 72B Instruct FAQ
How much does Qwen2.5 72B Instruct cost?
Qwen2.5 72B Instruct lists at $0.360 per 1M input tokens and $0.400 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $312.00 at list price.
What is the context window of Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct accepts up to 32,768 tokens of context and can return up to 16,384 output tokens per response.
Does Qwen2.5 72B Instruct support tool calling?
Yes — Qwen2.5 72B Instruct supports tool (function) calling. It accepts text input.
How does Qwen2.5 72B Instruct score on benchmarks?
LiveBench has not published a run for Qwen2.5 72B Instruct yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Qwen2.5 72B Instruct?
On OpenRouter the model ID is "qwen/qwen-2.5-72b-instruct". It was listed on Sep 19, 2024.
More from qwen
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.