Model Comparison

Qwen2.5 14B Instruct vs Step-3.5-Flash

Comparing Qwen2.5 14B 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 14B 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

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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

181.3B diff

Step-3.5-Flash has 181.3B more parameters than Qwen2.5 14B Instruct, making it 1233.3% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
14.7B
Qwen2.5 14B Instruct
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Only Step-3.5-Flash specifies input context (65,536 tokens). Only Step-3.5-Flash specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 14B 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 14B Instruct.

Qwen2.5 14B 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

StepFun
Larger context window (65,536 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
StepFun
Step-3.5-Flash

FAQ

Common questions about Qwen2.5 14B Instruct vs Step-3.5-Flash

Qwen2.5 14B 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 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. 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%.
Qwen2.5 14B Instruct supports an unknown number of 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.
Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team and Step-3.5-Flash is developed by StepFun.