โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Qwen2.5 72B Instruct vs Qwen3.5-27B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen2.5 72B Instruct and Qwen3.5-27B.

Alibaba

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

View Full Specs
Alibaba

Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

View Full Specs

Technical Specifications

SpecificationQwen2.5 72B InstructQwen3.5-27B
ProviderAlibabaAlibaba
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-192026-02-25

API Pricing Comparison

Input Price per Million Tokens

Qwen2.5 72B Instruct

$0.36

Qwen3.5-27B

$0.20

Output Price per Million Tokens

Qwen2.5 72B Instruct

$0.40

Qwen3.5-27B

$1.56

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8530.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B
HumanEvalPython coding & logic synthesis
8660.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B
MATHComplex mathematical problem solving
7460.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B
GPQAGraduate-level expert reasoning
4800.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B
HellaSwagCommonsense reasoning and inference
8820.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B
MT-BenchMulti-turn conversation flow quality
912.0%vsN/A
Qwen2.5 72B Instruct
Qwen3.5-27B

Qwen2.5 72B Instruct Quirks & Gotchas

No developer gotchas reported.

Qwen3.5-27B Quirks & Gotchas

No developer gotchas reported.