Qwq 32B
alibaba/qwq-32bPar Alibaba (Qwen) · famille: qwen · sorti 2025-03-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding14
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability4/10
Agents32
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit13/15
- Provider availability4/10
JSON / structured output29
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency69
- Headline price (log-scaled)69/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness69
- Number of independent providers20/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $1.43 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $2.86 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.66 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $2.35 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $3.25 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Détail des tarifs
Tarif recommandé de nano-gpt · qwq-32b
Disponible chez 4 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| Cloudflare Workers AI cloudflare-workers-ai | @cf/qwen/qwq-32b | $0.660 | $1.00 | 24K | 2025-03-05 |
| Abacus abacus | Qwen/QwQ-32B | $0.400 | $0.400 | 33K | 2024-11-28 |
| Cloudflare AI Gateway cloudflare-ai-gateway | workers-ai/@cf/qwen/qwq-32b | $0.660 | $1.00 | 128K | 2025-04-11 |
| NanoGPT nano-gpt | qwq-32b | $0.256 | $0.305 | 128K | 2025-04-15 |
Incohérences de données entre fournisseurs
- context_window varies: 128000, 24000, 32768
- release_date varies (span 138d): 2024-11-28, 2025-03-05, 2025-04-11, 2025-04-15
Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.
Frequently asked questions
How much does Qwq 32B cost?
Qwq 32B costs $0.256 per 1M input tokens and $0.305 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwq 32B?
Qwq 32B has a context window of 24K tokens, with a max output of 24K tokens per reply. This is the total combined size of prompt + completion.
Does Qwq 32B support tool calling?
No. Qwq 32B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Qwq 32B support structured output / JSON mode?
No. Qwq 32B does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Qwq 32B accept image input?
No. Qwq 32B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwq 32B open-weight?
Yes. Qwq 32B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwq 32B?
If Qwq 32B doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3.7 Max. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Alibaba (Qwen) models
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- Qwen3 32B$0.70 in / $2.80 out
- Qwen3.7 Max$2.50 in / $7.50 out
- Qwen3.6 Plus$0.50 in / $3.00 out
- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
Capability lists this model is in
Dernière mise à jour :
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.