Alibaba (Qwen)

Qwen2.5 72B Instruct

Type
language model
Context
131K tokens
Max output
4K
Released
18 September 2024
API string
Qwen/Qwen2.5-72B-Instruct
Weights
open

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Abacus.AI $0.11 $0.38 31 Jul 2026
DeepInfra $0.12 $0.39 31 Jul 2026
Hyperbolic $0.12 $0.3 31 Jul 2026
Nebius Token Factory $0.13 $0.4 31 Jul 2026
alibaba-cn $0.574 $1.721 31 Jul 2026
siliconflow-cn $0.59 $0.59 31 Jul 2026
SiliconFlow $0.59 $0.59 31 Jul 2026
Fireworks AI $0.9 $0.9 1 Aug 2026
Alibaba (Qwen) $1.4 $5.6 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score, programming 1,292.93 1,285–1,301
Arena Score in English 1,282.77 1,278–1,288
Arena Score, mathematics 1,282.63 1,274–1,291
Arena Score, long queries 1,281.92 1,274–1,290
Arena Score in French 1,278.91 1,246–1,312
Arena Score, multi-turn dialogue 1,271.85 1,264–1,280
Arena Score, hard prompts 1,270.92 1,265–1,277
Arena Score, overall 1,269.18 1,265–1,273
Arena Score in Russian 1,262.99 1,254–1,272
Arena Score, instruction following 1,254.53 1,249–1,260
Arena Score in Spanish 1,254.22 1,223–1,285
Arena Score, expert questions 1,244.85 1,233–1,257
Arena Score, creative writing 1,221.67 1,213–1,230
MATH, difficulty level five 63.17 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 32.2 % · with a tuned harness Epoch evaluations
BALROG — game environments 16.2 % Balrog Leaderboard
WeirdML — unusual machine learning tasks 15.97 % WeirdML Leaderboard
Mock AIME 2024–2025 — olympiad problems 7.96 % · with a tuned harness Epoch evaluations
The Agent Company — work tasks in an office environment 5.7 % TheAgentCompany experiment results github