GPT-5 vs Qwen2-VL-72B
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
GPT-5 specs · Qwen2-VL-72B specs- PriceGPT-5
GPT-5 publishes pricing ($10.00 / 1M output tokens) while Qwen2-VL-72B does not.
- Context windowGPT-5
GPT-5 accepts 400K tokens vs 128K, 3.1× the room for long documents and codebases.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesGPT-5
GPT-5 supports 3 modalities (text, vision, audio) vs 2 for Qwen2-VL-72B.
- OpennessQwen2-VL-72B
Qwen2-VL-72B ships open weights (Apache-2.0); GPT-5 is API-only.
On balance GPT-5 edges ahead, winning 3 of 5 categories against Qwen2-VL-72B's 1. GPT-5 publishes pricing ($10.00 / 1M output tokens) while Qwen2-VL-72B does not. GPT-5 accepts 400K tokens vs 128K, 3.1× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GPT-5 handles text, vision, audio while Qwen2-VL-72B handles text, vision, which can be the deciding factor before you even look at benchmarks. Qwen2-VL-72B ships open weights (Apache-2.0); GPT-5 is API-only.
GPT-5 is the newer of the two, released 11 months after Qwen2-VL-72B, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-5 is usually picked for coding llm and agents workloads, while Qwen2-VL-72B sees more deployments in vision and ocr. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | GPT-5 | Qwen2-VL-72B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Released | Aug 2025 | Aug 2024 |
| Modalities | text, vision, audio | text, vision |
| Context window | 400K tokens | 128K tokens |
| Max output | 128K tokens | , |
| Input · 1M | $1.25 / 1M tokens | Pricing not published |
| Output · 1M | $10.00 / 1M tokens | Pricing not published |
| Knowledge cutoff | 2024-09 | , |
| Open weights | No | Yes (Apache-2.0) |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day$18.75 vs ,
- Heavy usage, 1M in / 500k out per day$188 vs ,
- RAG workload, 5M in / 200k out per day$248 vs ,
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- GPT-5$0.625
- Qwen2-VL-72BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU91.4
- HumanEval96.2
- GPQA89.4
- SWE-bench Verified74.9
GPT-5 fits when…
- Unified model, reasoning routed automatically per query
- Excellent tool-use and JSON-mode discipline
- Strong agent performance on SWE-bench Verified
- Long-context tasks, handles 400K tokens vs 128K for Qwen2-VL-72B.
- Multimodal needs covering audio.
Qwen2-VL-72B fits when…
- Top open vision-language model
- Apache-2.0
- Strong on documents
- Self-hosting and on-prem requirements, open weights (Apache-2.0).
Consider GPT-5.5
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Frequently asked
Is GPT-5 or Qwen2-VL-72B cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
GPT-5 accepts 400K tokens vs 128K for Qwen2-VL-72B.Is GPT-5 or Qwen2-VL-72B better for coding?
Both GPT-5 and Qwen2-VL-72B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
Qwen2-VL-72B ships open weights (Apache-2.0). GPT-5 is API-only.When were GPT-5 and Qwen2-VL-72B released?
GPT-5 was released by OpenAI on 2025-08-07. Qwen2-VL-72B was released by Alibaba on 2024-08-29.
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