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Qwen2.5-72B

EstablishedReleased Sep 19, 2024Open WeightNon-Reasoning128K context

Released Sep 19, 2024 see all recent releases

Decision reading
Qwen2.5-72B is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 2, 2026 · How the score is built

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
128K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Qwen2.5-72B can be self-hosted.
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Qwen2.5-72B
API / mo$0
Self-host / mo$2,278
Break-even
Model the full break-even

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 19, 2024 · you are here

    Qwen2.5-72B

    Not publicly ranked · Price not listed

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Qwen2.5-72B, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

Qwen2.5-72B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.

The profile has no source-displayable benchmark row yet.

Radar

Qwen2.5-72B release history

Full release history

Radar confirmed these at the source. Already tracking Qwen2.5-72B? See the free Radar Brief for what changes next.

Frequently asked questions

How does Qwen2.5-72B perform overall in AI benchmarks?

Qwen2.5-72B does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Is Qwen2.5-72B open source?

Qwen2.5-72B is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does Qwen2.5-72B have full benchmark coverage on BenchLM?

No. Qwen2.5-72B currently has 0 source-displayable rows across 416 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Qwen2.5-72B?

Qwen2.5-72B has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Compare Qwen2.5-72B with every tracked model409 comparisons

Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.

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