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Qwen/Qwen2.5-72B-Instruct pricing

Qwen2.5 is a model pretrained on a large-scale dataset of up to 18 trillion tokens, offering significant improvements in knowledge, coding, mathematics, and instruction following compared to its predecessor Qwen2. Qwen/Qwen2.5-72B-Instruct from DeepInfra costs $0.360 per 1M input tokens and $0.400 per 1M output tokens. Context window 32,768 tokens.

API id Qwen/Qwen2.5-72B-Instruct · DeepInfra · source · updated 2026-09-25 · general-purpose

$0.360
Input / 1M tokens
$0.400
Output / 1M tokens
—
Cached input / 1M
33K
Context window

Qwen/Qwen2.5-72B-Instruct specifications

Provider
DeepInfra
API id
Qwen/Qwen2.5-72B-Instruct
Model type
general-purpose
Context window
33K tokens
Max output
not published
Currency
USD
Price source
Provider API
Last checked
2026-09-25

What Qwen/Qwen2.5-72B-Instruct costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0006
Document summary50,0002,000$0.02
1M tokens in, 200K out1,000,000200,000$0.44

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does Qwen/Qwen2.5-72B-Instruct cost per 1M tokens?
Qwen/Qwen2.5-72B-Instruct costs $0.360 per 1M input tokens and $0.400 per 1M output tokens on the standard tier.
What is Qwen/Qwen2.5-72B-Instruct's context window?
Qwen/Qwen2.5-72B-Instruct accepts up to 32,768 tokens in a single request.
Is there a cheaper DeepInfra model than Qwen/Qwen2.5-72B-Instruct?
Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $0.360 for Qwen/Qwen2.5-72B-Instruct, with a 1,048,576 token context window.
Where does this Qwen/Qwen2.5-72B-Instruct price come from?
From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.

Head-to-head comparisons

Other DeepInfra models

See all DeepInfra pricing →