Qwen2.5-VL 72B Instruct
alibaba/qwen2-5-vl-72b-instructPar Alibaba (Qwen) · famille: qwen · sorti 2024-09 · fin de connaissance: 2024-04
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.
Coding52
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability10/10
Agents50
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability10/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency36
- Headline price (log-scaled)36/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Vision87
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- 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 | $18.20 $0.02 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 | $36.40 < $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 | $9.80 < $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 | $30.80 $0.03 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $38.64 $0.04 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 alibaba · qwen2-5-vl-72b-instruct
Fournisseur le moins cher : openrouter · Unknown entrée + Unknown sortie
Disponible chez 12 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| Alibaba alibaba | qwen2-5-vl-72b-instruct | $2.80 | $8.40 | 131K | 2024-09 |
| Alibaba (China) alibaba-cn | qwen2-5-vl-72b-instruct | $2.29 | $6.88 | 131K | 2024-09 |
| OpenRouter openrouter | qwen/qwen2.5-vl-72b-instruct | Unknown | Unknown | 33K | 2025-02-01 |
| NanoGPT nano-gpt | TEE/qwen2.5-vl-72b-instruct | $0.700 | $0.700 | 66K | 2025-02-01 |
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen2.5-VL-72B-Instruct | $0.590 | $0.590 | 131K | 2025-01-28 |
| NovitaAI novita-ai | qwen/qwen2.5-vl-72b-instruct | $0.800 | $0.800 | 33K | 2025-03-25 |
| Qiniu qiniu-ai | qwen2.5-vl-72b-instruct | Unknown | Unknown | 128K | 2025-08-05 |
| Kilo Gateway kilo | qwen/qwen2.5-vl-72b-instruct | $0.800 | $0.800 | 33K | 2025-02-01 |
| Nebius Token Factory nebius | Qwen/Qwen2.5-VL-72B-Instruct | $0.250 | $0.750 | 128K | 2025-01-20 |
| OVHcloud AI Endpoints ovhcloud | qwen2.5-vl-72b-instruct | $1.01 | $1.01 | 33K | 2025-03-31 |
| SiliconFlow siliconflow | Qwen/Qwen2.5-VL-72B-Instruct | $0.590 | $0.590 | 131K | 2025-01-28 |
| LLM Gateway llmgateway | qwen2-5-vl-72b-instruct | $2.80 | $8.40 | 131K | 2024-09 |
Incohérences de données entre fournisseurs
- context_window varies: 128000, 131000, 131072, 32768, 65536
- release_date varies (span 338d): 2024-09, 2025-01-20, 2025-01-28, 2025-02-01, 2025-03-25, 2025-03-31, 2025-08-05
- modalities varies across offerings
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 Qwen2.5-VL 72B Instruct cost?
Qwen2.5-VL 72B Instruct costs $2.80 per 1M input tokens and $8.40 per 1M output tokens, sourced from alibaba. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen2.5-VL 72B Instruct support tool calling?
Yes. Qwen2.5-VL 72B Instruct supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Qwen2.5-VL 72B Instruct support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen2.5-VL 72B Instruct in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.
Can Qwen2.5-VL 72B Instruct accept image input?
Yes. Qwen2.5-VL 72B Instruct accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.
Is Qwen2.5-VL 72B Instruct open-weight?
Yes. Qwen2.5-VL 72B Instruct'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 Qwen2.5-VL 72B Instruct?
If Qwen2.5-VL 72B Instruct doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. 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 come from the public models.dev API and are normalised into a single canonical model record. 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 235B A22B Instruct 2507$0.10 in / $0.10 out
- Qwen3-Coder 480B-A35B Instruct$1.50 in / $7.50 out
- Qwen3-235B-A22B-Thinking-2507$0.10 in / $0.10 out
Capability lists this model is in
Dernière mise à jour :
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.