Qwen2.5 72B Instruct
Qwen2.5 is a model pretrained on a large-scale dataset of up to 18 trillion tokens, offering significant improvements in knowledge, coding, mathematics, and instruction following compared to its predecessor Qwen2.
text → text · made by Alibaba
Sold by 15 ways
| Seller | Lane | Rate |
|---|---|---|
| Hyperbolic aggregator | standard | $0.12per Mtok in$0.3per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| Requesty 2 ways | $0.23per Mtok in$0.4per Mtok out$0.23per Mtok cached | |
| Requesty aggregator | deepinfra | $0.23per Mtok in$0.4per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | novita | $0.38per Mtok in$0.4per Mtok out$0.38per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| DeepInfra aggregator | standard | $0.36per Mtok in$0.4per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Hugging Face Inference Providers 2 ways | $0.36per Mtok in$0.4per Mtok out | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.36per Mtok in$0.4per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | novita | $0.38per Mtok in$0.4per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Nous Research aggregator | standard | $0.36per Mtok in$0.4per Mtok outinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 2 ways | $0.36per Mtok in$0.4per Mtok out | |
| OpenRouter aggregator | standard | $0.36per Mtok in$0.4per Mtok outopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | novita/bf16 | $0.38per Mtok in$0.4per Mtok outopenrouter.ai · read 2026-08-25 |
| Novita AI aggregator | standard | $0.38per Mtok in$0.4per Mtok outapi.novita.ai · read 2026-08-25 |
| SiliconFlow aggregator | standard | $0.59per Mtok in$0.59per Mtok outmodels.dev · read 2026-09-16 |
| Fireworks AI aggregator | standard | $0.9per Mtok in$0.9per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| ElectronHub aggregator | standard | $1per Mtok in$1per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Together AI aggregator | standard | $1.2per Mtok in$1.2per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| PPIO aggregator | standard | $4per Mtok in$12per Mtok outapi.ppinfra.com · read 2026-09-16 |
Measured 14 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 10thof 217 | Mmlu — Epoch AI | EM | 0.853 |
| 12thof 16 | The agent company — Epoch AI | % Score | 0.118 |
| 18thof 25 | AgentBench Leaderboard (new) | Success Rate (pass@1) AVG | 40.8 |
| 28thof 36 | Balrog — Epoch AI | Average progress | 0.162 |
| 40thof 50 | Metr time horizons — Epoch AI | average_score | 0.358 |
| 52ndof 108 | Math level 5 — Epoch AI | mean_score | 63.17 |
| 63rdof 81 | Forecastbench — Epoch AI | Overall score | 57.5 |
| 103rdof 161 | Dtbench — Epoch AI | Accuracy | 62.93 |
| 105thof 123 | Lmca — Epoch AI | Score | 13.42 |
| 159thof 170 | Weirdml — Epoch AI | Accuracy | 15.97 |
| 231stof 313 | GPQA Diamond | mean_score | 49.148 |
| 242ndof 290 | OTIS Mock AIME 2024-2025 | mean_score | 8.056 |
| 272ndof 402 | LMArena · Text | Score (Elo) | 1303 |
| 530thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 129 |
About
Qwen2.5 72B Instruct — a text model from Alibaba, sold by 12 companies from $0.12 in and $0.3 out per million tokens, placed 10th 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 and agents. Twelve companies sell it. The cheapest is $0.12 in and $0.3 out per million tokens at Hyperbolic. Beside the standard rate there are separately routed and regional lanes. It has been measured on 14 boards, and stands best at 10th of 217 on Mmlu — Epoch AI.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 32,768 tokens
- Longest answer
- 16,384 tokens
- Published
- September 2024
- Knowledge to
- April 2024
- Parameters
- 73 billion
- Licence
- not read
- Sellers
- 12
- Maker's own price
- not read
- Price
- $0.12 in and $0.3 out per million tokens — Hyperbolic
- Boards
- 14
- Best place
- 10th of 217 — Mmlu — Epoch AI
Known as 5 names
Qwen2.5-72B-InstructQwen/Qwen2.5-72B-Instructqwen/qwen-2.5-72b-instructdeepinfra/Qwen/Qwen2.5-72B-Instructnovita/qwen/qwen-2.5-72b-instruct