Model Comparison

Qwen2.5 7B Instruct vs Step-3.5-Flash

Comparing Qwen2.5 7B 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 7B 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 7B Instruct ($0.30/1M tokens) is 3.0x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, Qwen2.5 7B Instruct ($0.30/1M tokens) is 1.3x cheaper than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Qwen2.5 7B 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
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
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

188.4B diff

Step-3.5-Flash has 188.4B more parameters than Qwen2.5 7B Instruct, making it 2475.6% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
7.6B
Qwen2.5 7B Instruct
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Qwen2.5 7B 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 7B Instruct
Input131,072 tokens
Output8,192 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Thu Apr 16 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 7B Instruct

Apache 2.0

Open weights

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 7B 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 7B Instruct.

Qwen2.5 7B 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 7B Instruct is available from Together. Step-3.5-Flash is available from StepFun.

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

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 7B Instruct

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
StepFun
Step-3.5-Flash

FAQ

Common questions about Qwen2.5 7B Instruct vs Step-3.5-Flash

Qwen2.5 7B 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%. 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 3.0x cheaper for input tokens. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.
Qwen2.5 7B 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 ($0.30 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.
Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team and Step-3.5-Flash is developed by StepFun.