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