Alibaba Qwen · LLM API pricing
Qwen2.5 Coder 32B Instruct API pricing: cheapest provider
5 providers sell Qwen2.5 Coder 32B Instruct. Lambda is cheapest; the most expensive charges 15.6× as much for the same model.
- Cheapest$0.0625per 1M · Lambda
- Input · output$0.05 / $0.10per 1M tokens
- Price gap15.6×across 5 providers
- Context131Kmax 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 Coder 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 LambdaInference provider - lowest for your volumePricing page | $0.70 | $0.05 | $0.10 | 131,072 |
2 NscaleInference providerPricing page | $1.00 | $0.06 | $0.20 | Not listed |
3 Cloudflare Workers AICloud platformPricing page | $8.60 | $0.66 | $1.00 | 32,768 |
4 Fireworks AIInference providerPricing page | $10.80 | $0.90 | $0.90 | 4,096 |
5 OVHcloud AI EndpointsCloud platformBilled in EUR: €0.87 input, €0.87 output per 1M tokens. USD at the ECB rate of Oct 30, 2026 (1.1172).Pricing page | $11.66 | $0.972 | $0.972 | 32,000 |
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.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $0.0625 per 1M tokens at Lambda. All price changes
Switch to the cheapest OpenAI-compatible 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://inference.api.nscale.com/v1",
api_key=os.environ["NSCALE_SERVICE_TOKEN"],
)
response = client.chat.completions.create(
model="Qwen/Qwen2.5-Coder-32B-Instruct",
messages=[{"role": "user", "content": "Hello"}],
)Compare Qwen2.5 Coder 32B Instruct with another model
Or pick any model
Before you pick a provider
Context windows differ by provider, from 4K to 131K tokens. A cheaper host may not accept your longest prompts.
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