Alibaba (Qwen)

Qwen2 72B Instruct

Type
language model
Context
33K tokens
Max output
33K
API string
fireworks_ai/accounts/fireworks/models/qwen2-72b-instruct

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Fireworks AI $0.9 $0.9 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, mathematics 1,234.83 1,225–1,244 — —
Arena Score in English 1,222.22 1,216–1,228 — —
Arena Score, overall 1,203.43 1,199–1,208 — —
Arena Score, programming 1,196.31 1,187–1,205 — —
Arena Score, multi-turn dialogue 1,195.55 1,186–1,205 — —
Arena Score, long queries 1,192.58 1,182–1,203 — —
Arena Score, hard prompts 1,190.89 1,184–1,198 — —
Arena Score, instruction following 1,181.62 1,175–1,188 — —
Arena Score, creative writing 1,181.3 1,172–1,191 — —
Arena Score, expert questions 1,170.74 1,156–1,185 — —
Arena Score in French 1,169.13 1,143–1,196 — —
Arena Score in Spanish 1,168.13 1,140–1,196 — —
Arena Score in Russian 1,167.83 1,157–1,178 — —
MATH, difficulty level five 39.07 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 21.04 % · with a tuned harness Epoch evaluations
WeirdML — unusual machine learning tasks 11.3 % — https://htihle.github.io/weirdml.html
The Agent Company — work tasks in an office environment 1.1 % — TheAgentCompany experiment results github