Qwen2-VL-72B for vision
Qwen2-VL-72B is ranked #4 on LLMDex's llm for vision ranking out of 5 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #4 of 5
- Context
- 128K tokens
- Output / 1M
- Pricing not published
- Released
- Aug 2024
Why Qwen2-VL-72B fits this task
Three things about Qwen2-VL-72B that map directly onto what this task rewards: Top open vision-language model; Apache-2.0; Strong on documents. Beyond the task-specific fit, Qwen2-VL-72B also brings top open vision-language model and apache-2.0, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llm for vision on 5 criteria , these are the axes the ranking uses, in priority order:
- MMMU and MathVista scores
- Chart and diagram comprehension
- OCR quality on dense or low-resolution text
- Multi-image reasoning
- Fine-grained spatial understanding
How Qwen2-VL-72B scores on each axis
Where Qwen2-VL-72B costs you: heavy at 72b. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Top open vision-language model
- Apache-2.0
- Strong on documents
Tracked weaknesses
- Heavy at 72B
When to pick something else
If you can pay slightly more or accept slightly different tradeoffs, Gemini 3 Pro from Google ranks one position higher and tends to win on the hardest cases. Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
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Other models for vision
- GPT-5.5 for vision
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Read guide - Claude Opus 4.7 for vision
Anthropic's mid-2026 flagship, ahead on SWE-bench, agent reliability, and writing quality.
Read guide - Gemini 3 Pro for vision
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Read guide - Claude Sonnet 4.6 for vision
Anthropic's mid-tier 4.6 release, the workhorse model behind most production Anthropic deployments.
Read guide
Qwen2-VL-72B for other use cases
Direct comparisons
Frequently asked
Is Qwen2-VL-72B good for vision?
Qwen2-VL-72B is ranked #4 on LLMDex's vision list. Top open-weight vision-language model, strong on document understanding and chart analysis.How much does Qwen2-VL-72B cost for vision?
Alibaba has not published per-token pricing for Qwen2-VL-72B at the time of writing.What's a cheaper alternative to Qwen2-VL-72B for vision?
The next ranked model on this task is Claude Sonnet 4.6. Compare both before committing.When should I NOT use Qwen2-VL-72B for vision?
Tracked weakness: Heavy at 72B. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
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