DeepSeek vs Stepfun
Two Chinese AI labs, two different bets. DeepSeek doubles down on reasoning and price. Stepfun goes all-in on video, audio and multimodal generation. Here's which one fits your use case in 2026.
DeepSeek
Hangzhou-based lab famous for open-weight reasoning models, transparent chain-of-thought and the lowest API pricing among frontier-class LLMs.
- Best-in-class reasoning (R1, V4)
- Top-tier code generation
- MIT-licensed open weights
- Cheapest frontier-class API
Stepfun
Shanghai-based multimodal lab building the Step model family. Current flagship is Step-3.5 Flash, with leading open text-to-video (Step-Video-T2V) and real-time speech (Step-Audio).
- Compact MoE flagship (Step-3.5 Flash)
- Leading open text-to-video (Step-Video-T2V)
- Real-time speech (Step-Audio)
- Strong full-stack multimodal
Feature Comparison
| Feature | DeepSeek | Stepfun |
|---|---|---|
| Headquarters | Hangzhou, China | Shanghai, China |
| Founded | 2023 | 2023 |
| Flagship Model | DeepSeek V4 / R1 | Step-3.5 Flash (compact MoE) |
| Primary Strength | Reasoning & Coding | Multimodal Generation |
| Open Weights (flagship) | ||
| License | MIT | Mixed / API-only |
| Chain-of-Thought | Limited | |
| Text-to-Video | Excellent (Step-Video) | |
| Real-time Speech | Basic | Excellent (Step-Audio) |
| Math & Reasoning | Excellent | Good |
| Code Generation | Excellent | Average |
| API Pricing (input) | ~$0.14 / 1M tokens | ~$0.50–2.00 / 1M tokens |
| Best For | Agents, coding, research | Video, voice, avatars |
Which One Should You Pick? Real Scenarios
Forget the spec sheet for a second. Here are the situations developers and teams actually face in 2026, and which model wins each one.
You're shipping a SaaS chatbot and need the cheapest reliable API
Pick DeepSeekDeepSeek V4 is ~5–10× cheaper than Stepfun Step-2 per million tokens, with comparable quality for general chat. At 1M requests/month the difference is the cost of a small office.
See DeepSeek pricing →You need to analyse 500-page contracts or long research papers
Pick StepfunStep-3.5 Flash and Step-2 ship with one of the largest context windows in Chinese AI (up to 256K tokens in beta), and Step-1V handles document images natively. DeepSeek V4 caps at 128K and isn't multimodal on documents yet.
Compare context windows →You're building a coding agent or dev tool
Pick DeepSeekDeepSeek leads open benchmarks on SWE-Bench, HumanEval and LiveCodeBench. Stepfun has no dedicated coder model. For Copilot-style tooling, this is not a close call.
Read the API docs →You're making a TikTok-style app that needs text-to-video
Pick StepfunStep-Video-T2V is open-source, 30B parameters, and produces 540p clips that rival closed models. DeepSeek has no video generation product at all.
You need open weights to self-host on your own GPUs
Pick DeepSeekDeepSeek releases full flagship weights under MIT. Stepfun keeps Step-2 closed and API-only — you cannot run it on-prem at any price.
Self-hosting options →You're building a real-time voice assistant
Pick StepfunStep-Audio-Chat handles end-to-end speech (no separate STT + TTS pipeline) with sub-second latency. DeepSeek requires you to bolt on Whisper + a TTS provider, which adds cost and lag.
Pricing Comparison
DeepSeek Pricing
- • Free chat tier on chat.deepseek.com
- • V4: ~$0.14 / 1M input tokens
- • ~$0.28 / 1M output tokens
- • Free for local deployment (open weights)
Stepfun Pricing
- • Limited free quota on Yuewen consumer app
- • Step-3.5 Flash / Step-2: ~$0.50–2.00 / 1M input tokens
- • Step-Video-T2V and Step-Audio priced per call
- • No open-weight flagship; API-only
Pricing as of May 2026, based on publicly listed rates. Both vendors update tiers frequently.
Frequently Asked Questions
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