Qwen2.5 VL 72B Instruct
Qwen2.5 VL 72B InstructAlternatives?
CheaperGemini 3.8 Flashhighwins 77%-64%*$1.24Sampling parameters are ignored+1
BetterGPT-5 Minihighwins 63%-84%$0.053OpenGemma 4 31Bunstatedwins 73%-96%$0.10 / $0.34
CheaperMuse Spark 1.3maxwins 76%-52%$1.60Only auto tool_choice is supported+5CheaperMuse Sparkunstatedwins 76%-52%$1.25 / $4.25Only n=1 · Meta / Chat Completions+1Gemini 3.8 Flashhighwins 77%-64%*$1.24Sampling parameters are ignored+1Muse Spark 1.3maxwins 76%-52%$1.60Only auto tool_choice is supported+5Muse Sparkunstatedwins 76%-52%$1.25 / $4.25Only n=1 · Meta / Chat Completions+1Muse Spark 1.2xhighwins 76%-52%$0.97Only auto tool_choice is supported+1Gemini 3.6 Flashhighwins 75%-64%*$1.60GPT-5 Minihighwins 63%-84%$0.053GPT-6 Lunamaxwins 65%-95%$0.068Function calling only with none · Chat Completions+3GPT-5.6 Lunaxhighwins 70%-89%$0.085GPT-5.6 Terraxhighwins 72%+7%$0.63Prompts with >272K input tokensGPT-6.1 Solmaxwins 74%-5%$0.72Remove unsupported parameters+5Gemma 4 31BunstatedOpenwins 73%-96%$0.10 / $0.34Qwen3.8 27BunstatedOpenwins 72%-77%$0.42 / $2.55max_tokens range · QwenCloud+4Gemma 4 26B A4BunstatedOpenwins 71%-94%$0.15 / $0.60Qwen 3.5 122B A10BunstatedOpenwins 69%-74%$0.40 / $3.20Memory (4-bit): 44 GB → 75 GBQwen 3.5 27BunstatedOpenwins 68%-80%$0.30 / $2.40Qwen3.7 Plusunstatedwins 73%—$0.32 / $1.28Qwen3.8 27BunstatedOpenwins 72%—$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3.5 397B A17BunstatedOpenwins 71%—$0.60 / $3.60Memory (4-bit): 44 GB → 242 GBQwen 3.5 122B A10BunstatedOpenwins 69%—$0.40 / $3.20Memory (4-bit): 44 GB → 75 GBQwen 3.5 27BunstatedOpenwins 68%—$0.30 / $2.40Qwen 3 VL 235B A22B ThinkingunstatedOpenwins 64%—$0.45 / $3.49Memory (4-bit): 44 GB → 141 GBQwen 2.5 VL 32B InstructOpenwins 56%—$0.20 / $0.60Context: 131K → 128K+1Qwen 2 VL 7B Instructwins 34%—$0 / $0Context: not verifiedAll Alibaba (Qwen) models →Run it yourself
estimateBenchmarks
in Vision & DocumentsFAQ
How much does Qwen2.5 VL 72B Instruct cost?›
$2.80 per 1M input tokens and $8.40 per 1M output tokens; cheapest via Parasail at $0.80 / $1.
Is Qwen2.5 VL 72B Instruct free to use?›
There is no free API; the cheapest paid price is $0.80 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen2.5 VL 72B Instruct, and what is it best at?›
#7 of 16 in Vision & Documents.
Is Qwen2.5 VL 72B Instruct better than Llama 4 Scout?›
On Arena Vision · overall, Qwen2.5 VL 72B Instruct scores 1,107.4 vs 1,118.4 — about the same.
How can I use Qwen2.5 VL 72B Instruct?›
Through the API of Parasail.
What is the context window of Qwen2.5 VL 72B Instruct?›
131K tokens, with up to 8K output tokens.
When was Qwen2.5 VL 72B Instruct released? Is there a newer version?›
Released 2025-01-27. It is the current version in its line.
Is Qwen2.5 VL 72B Instruct open source?›
Yes, the weights are open (qwen licence).
Can I run Qwen2.5 VL 72B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen2.5 VL 72B Instruct read images?›
It accepts text and images as input.
What is Qwen2.5 VL 72B Instruct?›
Qwen2.5 VL 72B Instruct is an open-weights language model from Alibaba (Qwen), released Jan 2025.
What are the best alternatives to Qwen2.5 VL 72B Instruct?›
Gemini 3.8 Flash (cheaper), GPT-5 Mini (better), Gemma 4 31B (open weights).