Last refreshed 2026-06-15. Next refresh: weekly.
Why use Qwen2.5-14B-Instruct on DeepInfra?
DeepInfra offers Qwen2.5-14B-Instruct with pay-as-you-go pricing at $0.10/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Qwen2.5-14B-Instruct across 3 providers to find the best fit for your use caseInput / 1M
$0.10
Output / 1M
$0.10
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
qwen2.5-14b-instructRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="qwen2.5-14b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Compare Qwen2.5-14B-Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| DeepInfra | $0.10 | $0.10 |
| Fireworks AI | $0.20 | $0.20 |
| SiliconFlow | $0.08 | $0.08 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.10 |
Capabilities
Structured Outputs
About Qwen2.5-14B-Instruct
Instruction-optimized 14B variant for complex queries requiring nuanced responses and strong multilingual support.
Get Started
Model Specs
Released2024-06-07
Parameters14.7B
Context128k
ArchitectureDecoder Only