Alibaba Qwen · LLM API pricing
qwen2.5-32b-instruct API pricing: cheapest provider
2 providers sell qwen2.5-32b-instruct. Nebius Token Factory is cheapest; the most expensive charges 9.5× as much for the same model.
- Cheapest$0.095per 1M · Nebius Token Factory
- Input · output$0.06 / $0.20per 1M tokens
- Price gap9.5×across 2 providers
- Accuracy46.1%GPQA
- Context128Kmax tokens
Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices
Ranked for your volume
qwen2.5-32b-instruct monthly cost by provider
Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.
More requirements: caching, context, features, provider
| Provider | Estimated / month | Input / 1M | Output / 1M | Context |
|---|---|---|---|---|
1 Nebius Token FactoryCloud platform - lowest for your volumePricing page | $1.00 | $0.06 | $0.20 | 128,000 |
2 Fireworks AIInference providerPricing page | $10.80 | $0.90 | $0.90 | 32,768 |
Order depends on listed price for your volume only. No provider pays for its position.
Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.
Accuracy: GPQA Diamond (graduate-level science questions) measured by Epoch AI (CC BY 4.0) on qwen2.5-32b-instruct, run Jan 30, 2025. The model is the same at every provider, though quantized deployments can score lower.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $0.095 per 1M tokens at Nebius Token Factory. All price changes
Switch to the cheapest provider
Already using the OpenAI SDK? Change the base URL, key and model name:
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.tokenfactory.nebius.com/v1",
api_key=os.environ["NEBIUS_API_KEY"],
)
response = client.chat.completions.create(
model="Qwen/Qwen2.5-32B-Instruct",
messages=[{"role": "user", "content": "Hello"}],
)Compare qwen2.5-32b-instruct with another model
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Before you pick a provider
Context windows differ by provider, from 33K to 128K tokens. A cheaper host may not accept your longest prompts.
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