Model Comparison

Qwen2.5 72B Instruct vs Step-3.5-Flash

Comparing Qwen2.5 72B Instruct and Step-3.5-Flash across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen2.5 72B Instruct and Step-3.5-Flash don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Step-3.5-Flash costs less

For input processing, Qwen2.5 72B Instruct ($0.35/1M tokens) is 3.5x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, Qwen2.5 72B Instruct ($0.40/1M tokens) costs the same as Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Step-3.5-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

123.3B diff

Step-3.5-Flash has 123.3B more parameters than Qwen2.5 72B Instruct, making it 169.6% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
72.7B
Qwen2.5 72B Instruct
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Step-3.5-Flash's 65,536 tokens. Both models can generate responses up to 8,192 tokens.

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2.5 72B Instruct is licensed under Qwen, while Step-3.5-Flash uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen2.5 72B Instruct

Qwen

Open weights

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 72B Instruct was released on 2024-09-19, while Step-3.5-Flash was released on 2026-02-02.

Step-3.5-Flash is 17 months newer than Qwen2.5 72B Instruct.

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

Step-3.5-Flash

Feb 2, 2026

2 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. Step-3.5-Flash is available from StepFun.

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
StepFun
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
StepFun
Step-3.5-Flash

FAQ

Common questions about Qwen2.5 72B Instruct vs Step-3.5-Flash

Qwen2.5 72B Instruct (Alibaba Cloud / Qwen Team) and Step-3.5-Flash (StepFun) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.
Step-3.5-Flash is 3.5x cheaper for input tokens. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.
Qwen2.5 72B Instruct supports 131K tokens and Step-3.5-Flash supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 66K), input pricing ($0.35 vs $0.10/M), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team and Step-3.5-Flash is developed by StepFun.