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DeepSeek V3.5 is the open-weights model that keeps punching above its weight class on coding benchmarks at a fraction of the cost.
DeepSeek V3.5 continues the pattern: frontier-adjacent quality at a reported price about 10x cheaper than US labs. For coding in particular, benchmarks approach flagship GPT and Claude Sonnet results on selected tasks.
| Factor | DeepSeek V3.5 | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|---|
| Coding benchmark tier | High | High | High |
| Price per M output | ~$1 | $15 | $4.50 |
| Open weights | Yes | No | No |
| Data trust | Varies by buyer | Enterprise-grade | Enterprise-grade |
client = OpenAI(api_key=os.environ["DEEPSEEK_API_KEY"], base_url="https://api.deepseek.com")
resp = client.chat.completions.create(model="deepseek-chat", messages=msgs)OpenAI-compatible. Flip the base URL and try it.Together, Fireworks, and Novita all host DeepSeek V3.5 weights in US data centers. You keep the price advantage without the data-residency headache.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-modelx-deepseek-v35-builders
What is the core idea behind "DeepSeek V3.5 coding"?
Which term best describes a foundational idea in "DeepSeek V3.5 coding"?
A learner studying DeepSeek V3.5 coding would need to understand which concept?
Which of these is directly relevant to DeepSeek V3.5 coding?
Which of the following is a key point about DeepSeek V3.5 coding?
Which of these does NOT belong in a discussion of DeepSeek V3.5 coding?
What is the key insight about "Know who runs the servers" in the context of DeepSeek V3.5 coding?
Which statement accurately describes an aspect of DeepSeek V3.5 coding?
What does working with DeepSeek V3.5 coding typically involve?
Which best describes the scope of "DeepSeek V3.5 coding"?
Which section heading best belongs in a lesson about DeepSeek V3.5 coding?
Which of the following is a concept covered in DeepSeek V3.5 coding?
Which of the following is a concept covered in DeepSeek V3.5 coding?
Which of the following is a concept covered in DeepSeek V3.5 coding?
Which of the following is a concept covered in DeepSeek V3.5 coding?