Qwen2.5-Max: benchmark scores, price and ranking

Qwen2.5-Max from Alibaba is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Frontier model
Open weights: No
Released: 2025-01-28 (source: curated)
Aggregate rank: Not ranked yet (too few shared benchmarks)

Across the 1 benchmark where at least ten models are scored, Qwen2.5-Max is in the top 10% on 0 and in the top half on 1.

Qwen2.5-Max benchmark results

Qwen2.5-Max benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Epoch ECI	133	#80 of 204	Epoch AI Benchmarking Hub	2026-10-13

About Qwen2.5-Max

Qwen2.5-Max is a frontier model from Alibaba. It was released on 2025-01-28, according to the developer's announcement. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Qwen2.5-Max stands

Qwen2.5-Max has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.

Qwen2.5-Max, benchmark by benchmark

Epoch ECI puts Qwen2.5-Max at 133, #80 of 204. That beats 61% of the models tested, but 24 points short of Qwen 3.8 Max (156). The results either side are Magistral Small 1.0 (133) and DeepSeek-V3 (132). It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Qwen2.5-Max is 5 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The Alibaba model released before it was qwen-plus-2025-01-25 on 2025-01-25, which scores 45.7. The next one was QwQ-32B on 2025-03-06, at 49.7.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.