Alibaba Qwen · LLM API pricing

Qwen3-8B API pricing: cheapest provider

2 providers sell Qwen3-8B. SiliconFlow is cheapest; the most expensive charges 3.3× as much for the same model.

  • Cheapest$0.06per 1M · SiliconFlow
  • Input · output$0.06 / $0.06per 1M tokens
  • Price gap3.3×across 2 providers
  • Accuracy56.8%GPQA
  • Context131Kmax tokens
$0.06 SiliconFlow3.3× spread$0.20 Fireworks AI
Already paying for Qwen3-8B? Check if you overpay →

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

Qwen3-8B 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

Share this page URL to keep your scenario. 2 of 2 providers meet these assumptions.

ProviderEstimated / monthInput / 1MOutput / 1MContext
1
SiliconFlowInference provider - lowest for your volumePricing page
$0.72$0.06$0.06131,000
2
Fireworks AIInference providerPricing page
$2.40$0.20$0.2040,960

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 qwen3-8b, run Aug 27, 2026. 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: $0.06 per 1M tokens at SiliconFlow. All price changes

Switch to the cheapest provider

Switch to SiliconFlow

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.siliconflow.com/v1",
    api_key=os.environ["SILICONFLOW_API_KEY"],
)
response = client.chat.completions.create(
    model="Qwen/Qwen3-8B",
    messages=[{"role": "user", "content": "Hello"}],
)
Base URL from SiliconFlow's API docs, model name from the open pricing datasets. Check the model page in SiliconFlow's docs before you switch production traffic.

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Before you pick a provider

Context windows differ by provider, from 41K to 131K tokens. A cheaper host may not accept your longest prompts.