Qwen2.5 7B Instruct
The 7 billion parameter Qwen2.5 excels in language understanding, multilingual capabilities, coding, mathematics, and reasoning.
text → text · made by Alibaba
Sold by 8 ways
| Seller | Lane | Rate |
|---|---|---|
| DeepInfra aggregator | standard | $0.04per Mtok in$0.1per Mtok outapi.deepinfra.com · read 2026-08-25 |
| SiliconFlow aggregator | standard | $0.05per Mtok in$0.05per Mtok outmodels.dev · read 2026-09-16 |
| Novita AI aggregator | standard | $0.07per Mtok in$0.07per Mtok outapi.novita.ai · read 2026-08-25 |
| Nous Research aggregator | standard | $0.1per Mtok in$0.2per Mtok outinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter aggregator | standard | $0.1per Mtok in$0.2per Mtok outopenrouter.ai · read 2026-08-24 |
| Fireworks AI aggregator | standard | $0.2per Mtok in$0.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| ElectronHub aggregator | standard | $0.3per Mtok in$0.3per Mtok outapi.electronhub.ai · read 2026-09-16 |
| PPIO aggregator | standard | $0.35per Mtok in$0.35per Mtok outapi.ppinfra.com · read 2026-09-10 |
Measured 8 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 34thof 36 | Balrog — Epoch AI | Average progress | 0.078 |
| 62ndof 217 | Mmlu — Epoch AI | EM | 0.729 |
| 117thof 123 | Lmca — Epoch AI | Score | 6.42 |
| 153rdof 161 | Dtbench — Epoch AI | Accuracy | 47.73 |
| 198thof 222 | Chess puzzles — Epoch AI | mean_score | 0 |
| 269thof 290 | OTIS Mock AIME 2024-2025 | mean_score | 2.5 |
| 277thof 313 | GPQA Diamond | mean_score | 35.48 |
| 588thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 118.44 |
About
Qwen2.5 7B Instruct — a text model from Alibaba, sold by 8 companies from $0.04 in and $0.1 out per million tokens, placed 62nd of 217 on Mmlu — Epoch AI.
It takes text and returns text, with a context window of 32,768 tokens. It was published in September 2024, trained on material up to April 2024. Its sellers say it can call a tool. The catalogue files it under reasoning. Eight companies sell it. The cheapest is $0.04 in and $0.1 out per million tokens at DeepInfra. It has been measured on 8 boards, and stands best at 62nd of 217 on Mmlu — Epoch AI.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 32,768 tokens
- Longest answer
- 32,000 tokens
- Published
- September 2024
- Knowledge to
- April 2024
- Parameters
- 7.6 billion
- Licence
- not read
- Sellers
- 8
- Maker's own price
- not read
- Price
- $0.04 in and $0.1 out per million tokens — DeepInfra
- Boards
- 8
- Best place
- 62nd of 217 — Mmlu — Epoch AI
Known as 2 names
Qwen/Qwen2.5-7B-Instructqwen/qwen-2.5-7b-instruct