Qwen2.5 7B Instruct — Alibaba | Modeldex

Qwen2.5 7B Instruct

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Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Jun 30, 2024(1.8 years ago)

API release

Oct 16, 2024(1.5 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

Qwen2.5 7B Instruct became available via the Alibaba API on 2024-10-16.

Training & availability

Training data has a knowledge cutoff of 2024-06-30 — information about events after that date is unlikely to appear in the model's responses. Alibaba has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 32K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 21 months old — this model will not know about recent events, releases, or API changes.
The context window (32K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.0400 per 1M tokens
Output: $0.1000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="alibaba/qwen-2-5-7b-instruct",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.04/1M

Output tokens / month2.0M

@ $0.1/1M

Input cost

$0.2

5.0M × $0.04/1M

Output cost

$0.2

2.0M × $0.1/1M

Total / month

$0.4

$4.8 / year

Providers & performance

3 providers

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Together	71tok/s	536ms	$0.3	$0.3	33K	fp8	—
AtlasCloud	26tok/s	994ms	$0.04	$0.1	33K	fp8	tools · json
Phala	11tok/s

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

12.5M/ month

HuggingFace likes

1.2K

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.