LLM Reference

Qwen2.5-72B-Instruct

Released
2024-06-07
Last refreshed
2026-06-30
Status
Researched 135d ago
Open sourceCommercial use: permittedCodingRAGLong contextClassificationJSON / Tool use

Qwen2.5-72B-Instruct is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Qwen2.5
Released
2024-06-07
Context
128k
Parameters
72.7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by
AlibabaAlibaba

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.280
Input / 1M
$0.280

Cheapest of 7 routes · SiliconFlow

Providers(7)
DeepInfraOpenRouterFireworks AINovita AIChutes AISiliconFlowReplicate API
View 7 provider routes

About

Instruction-optimized flagship variant for demanding production applications requiring high-accuracy complex problem-solving across industries.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ B

1 relevant benchmark in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 7

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
SiliconFlow$0.280$0.280
Serverless
DeepInfra$0.360$0.400
Serverless
OpenRouter$0.360$0.400
Serverless
Novita AI$0.380$0.400
Serverless

Available via routers & gateways(1)

OpenRouter

Hybrid

Unified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.

PassthroughFireworks AI

Capabilities

Structured Outputs

Benchmark peer barsfor Coding

HumanEvalRank 26 of 97
Claude Sonnet 4.6
98.0
o3
96.7
Claude Opus 4.6
95.0
Grok-3
94.5
Qwen2.5-72B-Instructcurrent
86.6

Benchmark scores(5)

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
Google-Proof Q&A38.4diamondObserved 2024-09-01—Source
HellaSwag95.6standardObserved 2026-03-06—Source
HumanEval86.6pass@1Observed 2024-09-01—Source
Massive Multitask Language Understanding88.25-shotObserved 2026-03-06—Source
Chatbot Arena1270.0—Observed 2026-04-15—Source

Migration checks

No linked migration route is available for this model yet.

Compare Qwen2.5-72B-Instruct with other models

Show all 23 popular comparisonssorted by 7-day search impressions
Qwen2.5-72B-Instruct vs Qwen3.6-35B-A3B63Qwen2.5-72B-Instruct vs GLM-554Qwen2.5-72B-Instruct vs GLM-5.150Qwen2.5-72B-Instruct vs GLM-5 Turbo48Qwen2.5-72B-Instruct vs Claude Sonnet 4.542Qwen2.5-72B-Instruct vs Gemini 2.5 Flash39Qwen2.5-72B-Instruct vs Claude Opus 4.636Qwen2.5-72B-Instruct vs Mixtral 8x7B35Qwen2.5-72B-Instruct vs Mistral Nemotron34Qwen2.5-72B-Instruct vs Mistral Large 230Qwen2.5-72B-Instruct vs Qwen3.5-397B-A17B20Qwen2.5-72B-Instruct vs Claude Opus 4.717Qwen2.5-72B-Instruct vs GPT-5.413Qwen2.5-72B-Instruct vs Llama 3.2 1B Instruct12Qwen2.5-72B-Instruct vs o39Qwen2.5-72B-Instruct vs Llama 3 8B Instruct8Qwen2.5-72B-Instruct vs Claude Opus 4.57Qwen2.5-72B-Instruct vs Claude 3.7 Sonnet7Qwen2.5-72B-Instruct vs GPT-5.26Qwen2.5-72B-Instruct vs o3 Mini3Qwen2.5-72B-Instruct vs Mistral Large 2 (2407)3Qwen2.5-72B-Instruct vs Mistral Large2Qwen2.5-72B-Instruct vs Code Davinci 0011