Qwen2.5-7B-Instruct-1M
- Tool use
- Structured output
- Open weights
Prices
1 offering · prices as listedqwen2.5-7b-instruct-1m| Conditions/ 1M tokens | Input | Output |
|---|---|---|
| Standard no longer listed since Oct 1, 2026 past price, from the vendor’s page archived Jan 16, 2026 | $0.368 | $1.47 |
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
- —
- Family
- qwen
- Model ID
Not stated on Alibaba Qwen’s pages: max input, input modalities, output modalities, reasoning efforts, reasoning can be off, max thinking budget, built-in tools, knowledge cutoff, licence, aliases.
Run locally
Weights: Qwen/Qwen2.5-7B-Instruct-1M- Parameters 7.6B
- Dense
- Native precision BF16
- Layers 28
- KV cache per token 56 KB
- Config positions 986K (config.json max_position_embeddings)
- API context 977K (maker’s API)
- Needs
- ≈ 15.3 GB (weights 14.2 (maker’s file) + KV cache 0.4 + overhead 0.7)
- Usable
- 21.6 GB (90% of its memory)
- Generation speed
- 32–48 tok/s
- Longest context
- 122K (longer doesn’t fit)
- First token
- about 0.25–0.37 s for a 2K prompt
| Precision | Weights | Needs at 8K | On your hardware | Longest context |
|---|---|---|---|---|
| BF16 (native)maker’s file | 14.2 GB | ≈ 15.3 | ●Runs well 32–48 tok/s | 122K |
| Q8_0 | 7.5 GB | ≈ 8.5 | ●Runs well 59–88 tok/s | 248K |
| FP8 | 7.1 GB | ≈ 8.0 | ●Runs well 62–94 tok/s | 256K |
| Q6_K | 5.8 GB | ≈ 6.8 | ●Runs well 75–112 tok/s | 279K |
| Q5_K_M | 5.0 GB | ≈ 6.0 | ●Runs well 86–128 tok/s | 293K |
| Q5_0 | 4.9 GB | ≈ 5.8 | ●Runs well 88–133 tok/s | 296K |
| Q4_K_M | 4.3 GB | ≈ 5.2 | ●Runs well 99–148 tok/s | 307K |
| Q4_0 | 4.0 GB | ≈ 4.9 | ●Runs well 106–159 tok/s | 313K |
| IQ4_XS | 3.8 GB | ≈ 4.7 | ●Runs well 112–167 tok/s | 317K |
| Q3_K_Mquality drops | 3.5 GB | ≈ 4.4 | ●Runs well 120–180 tok/s | 322K |
| IQ3_XXSquality drops | 2.7 GB | ≈ 3.7 | ●Runs well 149–223 tok/s | 336K |
| Q2_Kquality drops | 2.7 GB | ≈ 3.6 | ●Runs well 152–227 tok/s | 337K |
| IQ2_XXSquality drops | 1.8 GB | ≈ 2.8 | ●Runs well 207–311 tok/s | 352K |
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 3080; unified memory Apple M5 · 16 GB.
Run commands
vllm serve Qwen/Qwen2.5-7B-Instruct-1M --max-model-len 8192
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 →No changes recorded yet.
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
- Alibaba Cloud Model Studio pricing (opens in a new tab) alibabacloud.com · checked Sep 30, 2026
- Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens | Qwen (opens in a new tab) qwenlm.github.io · checked Oct 30, 2026
- Qwen/Qwen2.5-7B-Instruct-1M model card (opens in a new tab) huggingface.co · checked Nov 4, 2026
- Qwen/Qwen2.5-7B-Instruct-1M config.json (opens in a new tab) huggingface.co · checked Oct 31, 2026
- Qwen/Qwen2.5-7B-Instruct-1M files (opens in a new tab) huggingface.co · checked Oct 31, 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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