Qwen2.5-Coder-7B-Instruct
An instruction-tuned 7.61B-parameter model from the Qwen2.5-Coder series of code-specific Qwen large language models.
text + code → text + code · made by Alibaba
Sold by 4 ways
| Seller | Lane | Rate |
|---|---|---|
| Hugging Face Inference Providers aggregator | nscale | $0.01per Mtok in$0.03per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Nscale aggregator | standard | $0.01per Mtok in$0.03per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| ElectronHub aggregator | standard | $0.2per Mtok in$0.2per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Fireworks AI aggregator | standard | $0.2per Mtok in$0.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
Measured 2 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 11thof 170 | Gsm8k — Epoch AI | EM | 0.867 |
| 609thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 112.95 |
About
Qwen2.5-Coder-7B-Instruct — a text and code model from Alibaba, sold by 4 companies from $0.01 in and $0.03 out per million tokens, placed 11th of 170 on Gsm8k — Epoch AI.
It takes text and code and returns text and code, with a context window of 131,072 tokens. Its sellers say it can call a tool. The catalogue files it under code. Four companies sell it. The cheapest is $0.01 in and $0.03 out per million tokens at Nscale. Beside the standard rate there is a separately routed lane. It has been measured on 2 boards, and stands best at 11th of 170 on Gsm8k — Epoch AI.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text + code
- Returns
- text + code
- Context
- 131,072 tokens
- Longest answer
- 8,192 tokens
- Knowledge to
- April 2024
- Parameters
- 7 billion · read from its own name
- Licence
- not read
- Sellers
- 4
- Maker's own price
- not read
- Price
- $0.01 in and $0.03 out per million tokens — Nscale
- Boards
- 2
- Best place
- 11th of 170 — Gsm8k — Epoch AI
Known as 1 name
Qwen/Qwen2.5-Coder-7B-Instruct