Qwen2.5-14B-Instruct
- In Input modalities: Text Out Output modalities: Text
- Tool use
- Structured output
- Open weights
Prices
2 offerings · prices as listedqwen2.5-14b-instruct| Conditions/ 1M tokens | Input | Output |
|---|---|---|
| Standard | ¥1.00 | ¥3.00 |
Prices from How to check model training and deployment pricing-Alibaba Cloud Model Studio(Model Studio)-阿里云帮助中心 (opens in a new tab) (checked Nov 1, 2026)
qwen2.5-14b-instruct| Conditions/ 1M tokens | Input | Output |
|---|---|---|
| Standard no longer listed since Oct 1, 2026 past price, from the vendor’s page archived Jan 16, 2026 | $0.35 | $1.40 |
Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Sep 30, 2026)
Standard: the price a request with no conditions pays (the headline price elsewhere on the site).
Details
- Reasoning
- —
- Knowledge cutoff
- Apr 2024
- Family
- qwen
- Model ID
Not stated on Alibaba Qwen’s pages: max input, reasoning efforts, reasoning can be off, max thinking budget, built-in tools, licence, aliases.
Run locally
Weights: Qwen/Qwen2.5-14B-Instruct- Parameters 14.8B
- Dense
- Native precision BF16
- Layers 48
- KV cache per token 192 KB
- Config positions 32K (config.json max_position_embeddings)
- API context 977K (maker’s API)
- Needs
- ≈ 16.9 GB (weights 14.6 (maker’s file) + KV cache 1.5 + overhead 0.7)
- Usable
- 21.6 GB (90% of its memory)
- Generation speed
- 29–44 tok/s
- Longest context
- 32K (the model’s limit)
- First token
- about 0.48–0.72 s for a 2K prompt
| Precision | Weights | Needs at 8K | On your hardware | Longest context |
|---|---|---|---|---|
| BF16 (native)maker’s file | 27.5 GB | ≈ 30.4 | ○Needs system memory 4–6 tok/s | — |
| Q8_0maker’s file | 14.6 GB | ≈ 16.9 | ●Runs well 29–44 tok/s | 32K |
| INT8 (GPTQ)maker’s file | 15.5 GB | ≈ 17.8 | ●Runs well 28–41 tok/s | 28K |
| FP8 | 13.8 GB | ≈ 15.9 | ●Runs well 31–46 tok/s | 32K |
| Q6_Kmaker’s file | 11.3 GB | ≈ 13.4 | ●Runs well 37–55 tok/s | 32K |
| Q5_K_Mmaker’s file | 9.8 GB | ≈ 11.8 | ●Runs well 42–62 tok/s | 32K |
| Q5_0maker’s file | 9.6 GB | ≈ 11.6 | ●Runs well 42–64 tok/s | 32K |
| Q4_K_Mmaker’s file | 8.4 GB | ≈ 10.4 | ●Runs well 48–71 tok/s | 32K |
| Q4_0maker’s file | 7.9 GB | ≈ 9.9 | ●Runs well 50–75 tok/s | 32K |
| INT4 (AWQ / GPTQ)maker’s file | 9.3 GB | ≈ 11.3 | ●Runs well 43–65 tok/s | 32K |
| IQ4_XS | 7.3 GB | ≈ 9.3 | ●Runs well 53–80 tok/s | 32K |
| Q3_K_Mmaker’s filequality drops | 6.8 GB | ≈ 8.8 | ●Runs well 56–84 tok/s | 32K |
| IQ3_XXSquality drops | 5.3 GB | ≈ 7.3 | ●Runs well 69–104 tok/s | 32K |
| Q2_Kmaker’s filequality drops | 5.4 GB | ≈ 7.4 | ●Runs well 68–102 tok/s | 32K |
| IQ2_XXSquality drops | 3.5 GB | ≈ 5.5 | ●Runs well 93–140 tok/s | 32K |
Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.
Compared with other hardware
Each at the highest precision it runs. Click one for details.
Smallest that runs it (Q4_K_M, 8K): GPU GeForce RTX 5070; unified memory Apple M5 · 16 GB.
Run commands
llama-server -hf Qwen/Qwen2.5-14B-Instruct-GGUF:Q8_0 -c 8192
ollama run hf.co/Qwen/Qwen2.5-14B-Instruct-GGUF:Q8_0
Memory to fine-tune
Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.
Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated
Cited scores
From third-party leaderboards, not measured by usThis model isn’t on any leaderboard we cite yet.
Changes
All changes →- Now priced on Alibaba Cloud Model Studio, China Input ¥1.00 · Output ¥3.00
- No longer priced on Alibaba Cloud Model Studio, International Input $0.35 · Output $1.40
- Now priced on Alibaba Cloud Model Studio, International Input $0.35 · Output $1.40
Sources
- Text generation models - Qwen, DeepSeek, GLM | Model Studio - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center (opens in a new tab) docs.modelstudio.console.alibabacloud.com · checked Oct 15, 2026
- models.dev: qwen2-5-14b-instruct (community data, MIT) (opens in a new tab) github.com · checked Sep 30, 2026
- Alibaba Cloud Model Studio pricing (opens in a new tab) alibabacloud.com · checked Sep 30, 2026
- Qwen2.5: A Party of Foundation Models! | Qwen (opens in a new tab) qwenlm.github.io · checked Sep 30, 2026
- Qwen/Qwen2.5-14B-Instruct model card (opens in a new tab) huggingface.co · checked Nov 3, 2026
- Qwen/Qwen2.5-14B-Instruct config.json (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-14B-Instruct files (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-14B-Instruct-AWQ files (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-14B-Instruct-GGUF files (opens in a new tab) huggingface.co · checked Nov 1, 2026
- Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4 files (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8 files (opens in a new tab) huggingface.co · checked Nov 2, 2026
- How to check model training and deployment pricing-Alibaba Cloud Model Studio(Model Studio)-阿里云帮助中心in Chinese (opens in a new tab) help.aliyun.com · checked Nov 1, 2026
Alibaba Qwen’s official policies: data use, privacy, terms →
Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data
Alibaba Qwen · China · qwen.ai
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