GPT-4o vs Step-3.5-Flash
Step-3.5-Flash leads the LLM Stats Score 37.3 to 11.7. Step-3.5-Flash is 25.0x cheaper per token.
OpenAI · StepFun · Updated for 2026
Which is better?
Step-3.5-Flash leads the overall LLM Stats Score 37.3 to 11.7, ranking #61 overall.
On price, Step-3.5-Flash is roughly 25.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4o also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you process long inputs — it offers a 128,000 token context window
Choose Step-3.5-Flash
- overall performance matters — it scores 37.3 and ranks #61 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 25.0x cheaper per token
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-4o · 7 for Step-3.5-Flash
GPT-4o and Step-3.5-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than Step-3.5-Flash ($0.10/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 25.0x more expensive than Step-3.5-Flash ($0.40/1M tokens).
In conclusion, GPT-4o is more expensive than Step-3.5-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4o accepts 128,000 input tokens compared to Step-3.5-Flash's 65,536 tokens. Step-3.5-Flash can generate longer responses up to 8,192 tokens, while GPT-4o is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Step-3.5-Flash does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Step-3.5-Flash
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while Step-3.5-Flash was released on 2026-02-02.
Step-3.5-Flash is 21 months newer than GPT-4o.
May 13, 2024
2.3 years ago
Feb 2, 2026
7 months ago
1.7yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Step-3.5-Flash is available from StepFun.
GPT-4o
Step-3.5-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Step-3.5-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Step-3.5-Flash.