Alibaba (Qwen) · language model
Qwen2.5 7B Instruct: pricing, context and benchmarks
Qwen2.5 7B Instruct is Alibaba (Qwen)'s model released on October 16, 2024. It costs $0.1 per million input tokens and $0.2 per million output tokens, with a 32.8K-token context window. No independent score has been published for it so far.
| Price | 26/30 | |
|---|---|---|
| Context | 1/15 | |
| Features | 12/15 |
What you need to know about Qwen2.5 7B Instruct
Alibaba (Qwen), based in China, put Qwen2.5 7B Instruct online on October 16, 2024. It accepts text as input and produces text. Its context window reaches 32,768 tokens, larger than 8 % of the models in the registry, and it can write up to 29,491 tokens in one go.
Released more than 2 years ago, it belongs to a generation most vendors have since superseded.
Qwen2.5 7B Instruct pricing
On OpenRouter, Qwen2.5 7B Instruct costs $0.1 per million input tokens and $0.2 per million output tokens. Counting three tokens read for every token written, its average price is $0.125 per million, more expensive than 13 % of paid models (6.1 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0003. At 1,000 tasks a day, budget $9 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Qwen2.5 7B Instruct. We therefore show no made-up performance rating: only price, context and features count towards its score.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 35.5 % | Sep 19, 2024 |
| OTIS Mock AIME | maths competition problems | 2.5 % | Sep 19, 2024 |
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at June 2024.
Its weights are open and downloadable from Hugging Face (apache-2.0 licence): you can run it on your own machines without sending your data to a third party. With 7,615,616,512 billion parameters, it needs about 4,255,557,346 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 6,077,597 times on Hugging Face last month.
Other Alibaba (Qwen) models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Qwen3.8 Max Prime | Sep 23, 2026 | $6 | — |
| Qwen3.8 Omni Flash | Sep 21, 2026 | $0.23 | — |
| Qwen3.8 Max (0902) | Sep 3, 2026 | $3 | 155.1 |
| Qwen3.8 Flash | Aug 26, 2026 | $0.23 | — |
| Qwen3.8 27B | Aug 14, 2026 | $0.78 | 151.7 |
| Qwen3.8 2.4T A95B | Aug 12, 2026 | $3 | — |
| Qwen3.7 Flash | Jul 27, 2026 | $0.06 | 144.1 |
| Qwen3.7 Plus | Jun 3, 2026 | $0.56 | 147 |
Verdict
Computed score: 65/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 87 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
- Text only: reads neither images nor files.
Avoid if…
- you analyse long documents in one go;
- you want to host it on a single consumer computer (≈ 4,255,557,346 GB needed at 4-bit).
Alternatives
- Reka Flash 3$0.13
- Hy-MT2-30B-A3B$0.13
- Hy-MT2-7B$0.13
- Voxtral Small 24B 2507$0.15
- UI-TARS 7B$0.13
- Reka Edge$0.1
Comparisons and tools
Learn more
Frequently asked questions
How much does Qwen2.5 7B Instruct cost?
$0.1 per million input tokens and $0.2 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0003.
How big is Qwen2.5 7B Instruct's context window?
32,768 tokens, roughly 25,000 words, with a maximum of 29,491 output tokens.
Can Qwen2.5 7B Instruct run locally?
Yes, its weights are published under the apache-2.0 licence. Expect about 4,255,557,346 GB of memory at 4-bit.
Is Qwen2.5 7B Instruct suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Qwen2.5 7B Instruct?
The closest models on price and performance are Reka Flash 3, Hy-MT2-30B-A3B, and Hy-MT2-7B.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score