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Qwen3.8 27b API pricing

Groq · chat model · 131K context · ranked #1061 of 1809 by input price

prices checked 2026-09-13 13:40 UTC
Input / 1M tokens
$0.8
Output / 1M tokens
$4
Cached input / 1M
Max output
16K

What Qwen3.8 27b costs in practice

Qwen3.8 27b is priced at $0.8 per million input tokens and $4 per million output tokens and no separately published prompt-cache rate. Against the median priced chat model ($0.5/1M in), this sits at 1.6×.

Monthly cost examples

Assuming 1,200 prompt + 400 completion tokens per request unless noted, billed 30 days a month and without cache hits.

WorkloadCost / monthCost / day
1,000 requests/day$76.8$2.56
10,000 requests/day$768$25.6
100,000 requests/day$7680$256
1M summaries/month$7599.92$253.33

Model a different profile in the cost calculator.

Capabilities

visiontoolsreasoning

Cheaper alternatives

Ranked by blended cost (3× input + 1× output) — cheaper, but check context and capabilities before switching.

#ModelProviderInput $/1MOutput $/1MCached $/1MContext
1Gemini Exp 1114Google Geminifreefree1.0M
2Gemini Exp 1206Google Geminifreefree2.1M
3Gemma 3 27b ItGoogle Geminifreefree131K
4Gemma 4 26b A4b ItGoogle Geminifreefree262K
5Gemma 4 31b ItGoogle Geminifreefree262K
6Learnlm 1.5 Pro ExperimentalGoogle Geminifreefree33K

Data provenance

This page is assembled from the sources below. Where two sources disagree, both are shown.

Primary sources
Cross-check

Only one source publishes this model; no independent cross-check available yet.

More from Groq

Frequently asked

How much does Qwen3.8 27b cost per 1,000 tokens?

About $0.0008 for input and $0.004 for output tokens, based on the per-million rates on this page.

Is Qwen3.8 27b cheaper than other models?

By input price it ranks #1061 of 1809 priced chat models in this index, putting it in the more expensive half of the market.

How often is Qwen3.8 27b's price checked?

The dataset was last refreshed 2026-09-13 13:40 UTC. Providers can change pricing at any time — verify with Groq before committing to a budget.