Qwen2.5 72B

Latest
Other Qwen2.5 Generally Available Sep 2024

Alibaba's top open-weight model at 72B. Achieves 86.1 on MMLU and 83.1 on MATH, with 130K context and strong multilingual + code capabilities. 580K+ HuggingFace downloads.

Context
131K
tokens
Input
$0.40
per MTok
Output
$1.20
per MTok

Modalities

Input
Text Code
Output
Text Code

Code Examples

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen2.5-72B-Instruct",
    "messages": [
      { "role": "user", "content": "Explain quantum entanglement in one sentence." }
    ]
  }'

API Parameters

Name Type Description
frequency_penalty number Penalize tokens by their frequency so far. Positive values reduce repetition.
max_completion_tokens integer Maximum number of tokens the model may generate in the response.
presence_penalty number Penalize tokens that have appeared at all so far. Positive values encourage new topics.
response_format one of Constrain output to a JSON schema or an enum (structured outputs).
seed integer Deterministic seed for sampling. Same seed + same prompt produces identical output.
stop array Up to 4 sequences where the API will stop generating tokens.
stream boolean Stream partial responses as Server-Sent Events.
temperature number Sampling temperature; higher values produce more random output. 0 is deterministic.
tool_choice one of Controls which (if any) tool is called: "none", "auto", "required", or a specific tool.
tools array List of tools (functions) the model may call.
top_p number Nucleus sampling: consider only tokens whose cumulative probability ≥ top_p.

Standard OpenAI-compatible parameters. Consult the provider docs for model-specific behaviour.

Benchmark Scores

Benchmark Score
MMLU 86.1%
MATH 83.1%
HumanEval 86.6%

Performance

55
tok / sec
output speed

Source: Qwen2.5 technical report + llm-stats.com, April 2026

Strengths & Limitations

Best For
Best-in-class open-weight MMLU at 72B scale
Strong math and code
130K context
Large HuggingFace community
Limitations
No vision modality (base model)
Qwen licence (non-commercial restrictions for some uses)
Self-hosting requires ~4× A100 GPUs

Tags

Open WeightsCodingMathLong ContextMultilingual