Last refreshed 2026-09-24. Next refresh: weekly.
Why use Qwen2.5-7B-Instruct on Featherless?
Featherless offers Qwen2.5-7B-Instruct with pay-as-you-go pricing at $0.17/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare Qwen2.5-7B-Instruct across 8 providers to find the best fit for your use caseInput / 1M
$0.17
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FEATHERLESS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",Model ID
Qwen/Qwen2.5-7B-InstructRequest example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="Qwen/Qwen2.5-7B-Instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "Qwen/Qwen2.5-7B-Instruct", not the LLMReference slug "qwen2.5-7b-instruct".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.
Compare Qwen2.5-7B-Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| DeepInfra | $0.03 | $0.03 |
| OpenRouter | $0.04 | $0.10 |
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
| Together AI | $0.15 | $0.15 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.17 |
| Output tokens | $0.20 |
Capabilities
Structured Outputs
About Qwen2.5-7B-Instruct
Instruction-tuned 7B variant combining strong reasoning with real-time inference on single GPUs, ideal for developer tools and vision applications.
Get Started
Model Specs
Released2024-06-07
Parameters7.61B
Context128k
ArchitectureDecoder Only