Qwen2-72B

Newer version available: Qwen2.5-72B

Released
2024-06-05
Last refreshed
2026-10-17
Status
Researched 1d ago
Open sourceCommercial use: permittedCodingRAGLong contextClassificationJSON / Tool use
Alibaba releases · 51 in the last 12 monthsChangelog →
Specifications
Family
Qwen2
Released
2024-06-05
Context
128K
Parameters
72.71B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedPermitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.900
Input / 1M
$0.900

Cheapest of 2 routes · Fireworks AI

About

Qwen2-72B is a cutting-edge large language model developed by Alibaba's Qwen team, featuring an impressive 72 billion parameters based on the Transformer architecture 12. It employs advanced enhancements such as SwiGLU activation, attention QKV bias, and group query attention to advance efficiency and precision 16. The model demonstrates strong performance across diverse benchmarks, excelling in language understanding, generation, coding, mathematics, and multilingual tasks, often surpassing other open-source models and challenging proprietary alternatives 34. With support for processing up to 128,000 tokens in context and proficiency in around 30 languages, it offers extensive input capabilities 15.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Serverless
Microsoft Foundry$1.00$2.00
Provisioned

Deprecated provider routes(2)

ProviderStatusCatalog ID
DeepInfra
DeprecatedRetired October 10, 2024
Qwen/Qwen2-72B-Instruct
Together AI
DeprecatedRetired August 28, 2025
—

Available via routers & gateways(6)

Capabilities

Structured Outputs

Benchmark peer barsfor Coding

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
67.1pass@1Observed 2026-03-06—
84.25-shotObserved 2026-03-06—
64.4—Observed 2026-04-14—

Migration checks

No linked migration route is available for this model yet.

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