LLM Reference

Qwen2.5-Math-RM-72B

Released
2024-09-19
Last refreshed
2026-05-19
Status
Researched 16d ago
Long contextClassification

Qwen2.5-Math-RM-72B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating long context and classification
  • Workloads that can use a 128k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-09-19
Context
128k
Parameters
72B
Architecture
Decoder Only
Specialization
safety
Training
finetuned
Fine-tuning
base
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing

No tracked provider token pricing is available yet.

About

Qwen2.5-Math-RM-72B is Alibaba's Qwen2.5-Math model focused on content moderation and safety classification. It offers a 128K-token context window.

Qwen2.5-Math-RM-72B is a model in the Qwen2.5-Math family. The structured metadata tracks a 128k-token context window. No headline benchmark score is tracked for Qwen2.5-Math-RM-72B yet.

Top use-case fit

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Long context

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(6)