--- title: "Qwen: Qwen2.5 VL 72B Instruct — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/qwen__qwen2.5-vl-72b-instruct/ description: "Qwen: Qwen2.5 VL 72B Instruct: $0.800/M in, $1.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # Qwen: Qwen2.5 VL 72B Instruct — unrated, priced in this catalogue · Undominated.ai > Qwen: Qwen2.5 VL 72B Instruct: $0.800/M in, $1.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/qwen__qwen2.5-vl-72b-instruct/) [Cheaper alternatives](/alternatives/) [Family](/families/qwen/) [Compare models](https://undominated.ai/compare/?models=qwen%2Fqwen2.5-vl-72b-instruct) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Qwen2.5 VL 72B Instruct Qwen · 01 Feb 2025 Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$0.850** / 1M tokens Balanced · 3 tokens in per 1 out Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 128K Maximum output 115.2K Input modalities text, image Output modalities text Published input price $0.800 / 1M tokens Published output price $1.00 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Parasail: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known. Every price dimension · USD per million tokens | Input | $0.800 /M | | --- | --- | | Output | $1.00 /M | | Cached input | $0.400 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 1 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Parasail parasail/fp8 Endpoint terms Cached input /M $0.400 Context limit 128,000 tokens Output limit 115,200 tokens Tools Not listed by endpoint Reasoning Not listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.800 | Output $1.00 | Precision fp8 | Uptime (1d) 100.00% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 128K | | --- | --- | | Max output | 115K | | Input modes | text, image | | Tool use | no | | Reasoning | no | | Knowledge cutoff | 2024-06-30 | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images. ## Questions this page answers What does Qwen2.5 VL 72B Instruct cost? $0.800/M in, $1.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Qwen2.5 VL 72B Instruct have an independent quality score? Qwen2.5 VL 72B Instruct has no independent quality score in this catalogue. Unrated is not a score of zero. What beats Qwen2.5 VL 72B Instruct? Qwen2.5 VL 72B Instruct has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Qwen2.5 VL 72B Instruct? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Qwen2.5 VL 72B Instruct scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Qwen: Qwen2.5 VL 72B Instruct. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Qwen3.7 Plus](/models/qwen__qwen3.7-plus/) - Qwen models [Qwen](/providers/qwen/) - Where this model appears [wire](/wire/) - Same vendor [Qwen3.6 Max Preview](/models/qwen__qwen3.6-max-preview/) - Same vendor [Qwen3.8 27B](/models/qwen__qwen3.8-27b/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Qwen2.5 VL 72B Instruct — Undominated.ai dominance verdict](https://undominated.ai/badge/qwen__qwen2.5-vl-72b-instruct.svg)](https://undominated.ai/models/qwen__qwen2.5-vl-72b-instruct/) HTML Copy Qwen2.5 VL 72B Instruct — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/qwen__qwen2.5-vl-72b-instruct.svg](https://undominated.ai/badge/qwen__qwen2.5-vl-72b-instruct.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)