ModelPriceWatch.com
Last scan 2026-08-28 Models tracked 237 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3-32B

by DeepInfra · 32B parameters

Current budget open weights cheap tier

Today's price · per 1M tokens

Input

$0.080

per 1M tokens

Output

$0.280

per 1M tokens

Blended

$0.130

blended $/1M — 3:1 weighted input:output

Source: official DeepInfra pricing · read Jul 10, 2026 MODELPRICEWATCH.COM · 2026-08-28

Price receipt

We read DeepInfra's own pricing page on Aug 9, 2026 and found Qwen3-32B listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 7993be39df.

Qwen3-32B is available on 3 hosts. See the full cheapest-first comparison on the consolidated Qwen3-32B page →

Overview

Alibaba Qwen3-32B served on DeepInfra at $0.08/$0.28 per 1M tokens — cheaper than other tracked hosts (vs Groq $0.29/$0.59). Dense 32B, 128K context.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

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Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 2/9
Prompt caching Reasoning Coding Fast inference Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 10.4th3 independent measurements
Percentile per $/Mtok 80

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 11.4 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 1.8 (Tool use, planning, autonomy)
  • AA-Omniscience Index: -50.4 (−100–100)
How it stacks up
  • Ranks #149 of 170 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #32 of 170 comparably-tested models by normalized performance per dollar

Source: LMSYS Chatbot Arena (UC Berkeley) · updated Jul 18, 2026 · See full rankings →

Specifications

Provider
DeepInfra
Context window
128K tokens
Modality
text
Parameters
32B
Open source
Yes — open weights available
Released
Jan 1, 2026
Status
Current
Last updated
Jul 10, 2026
Tags
budgetopen-weightsmultilingual

Availability verified: Aug 9, 2026 — listed on DeepInfra's own page