LLMWise/Comparisons/DeepSeek V3 vs GPT-5.2
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DeepSeek V3 vs GPT-5.2: The Value Challenger Takes On the Incumbent

DeepSeek has emerged as a serious frontier contender at a fraction of the price. We compare it head-to-head with GPT-5.2, then show you how to test both with LLMWise Compare mode.

3
DeepSeek V3
0
Tie
4
GPT-5.2
Head-to-head by dimension
DimensionDeepSeek V3GPT-5.2Edge
Math & ReasoningDeepSeek V3 was trained with a heavy emphasis on mathematical and logical reasoning, and it performs at or above frontier level on competition math benchmarks.GPT-5.2 handles math well for a general-purpose model but falls short of DeepSeek V3 on olympiad-style problems and formal proofs.
CodingDeepSeek V3 is exceptionally strong at coding, particularly in Python, C++, and algorithmic problem-solving. It often matches or beats premium models on coding benchmarks.GPT-5.2 is a very capable coding model with a wider ecosystem of tooling, but raw code generation quality is comparable or slightly behind DeepSeek V3.
CostDeepSeek V3 is dramatically cheaper than GPT-5.2, often by an order of magnitude per token, making it one of the best value propositions in the LLM space.GPT-5.2 is premium-priced. For cost-sensitive applications, the price difference versus DeepSeek V3 is hard to justify unless you need specific OpenAI features.
SpeedDeepSeek V3 delivers competitive inference speed, though routing through certain providers can add latency compared to OpenAI's optimized infrastructure.GPT-5.2 benefits from OpenAI's highly optimized serving infrastructure, resulting in consistent low-latency responses across regions.
Creative WritingDeepSeek V3 can produce coherent creative content but lacks the stylistic polish and narrative flair that GPT-5.2 brings to fiction and copywriting.GPT-5.2 remains the leader in creative writing tasks, with natural voice, tonal range, and an ability to maintain engaging narrative over long outputs.
General TasksDeepSeek V3 handles general knowledge and instruction-following well, though it occasionally shows weaker performance on culturally Western topics and nuanced English idioms.GPT-5.2 is the more well-rounded generalist, with strong performance across virtually any task category and excellent instruction-following.
API MaturityDeepSeek's API is functional but younger, with less documentation, fewer SDKs, and a smaller community compared to OpenAI's ecosystem.OpenAI has the most mature API ecosystem in the industry, with comprehensive docs, robust SDKs, and extensive third-party integration support.
Verdict

DeepSeek V3 is a legitimate frontier model that beats GPT-5.2 on math, coding, and cost. GPT-5.2 retains advantages in creative writing, general polish, speed, and ecosystem maturity. For technical workloads where budget matters, DeepSeek V3 is hard to beat. For polished, general-purpose production use, GPT-5.2 is still the safer bet.

Use LLMWise Compare mode to test both models on your own prompts in one API call.

Common questions

Is DeepSeek V3 really as good as GPT-5.2 at coding?
On pure code generation benchmarks, DeepSeek V3 matches or slightly exceeds GPT-5.2 in many categories, especially algorithmic and mathematical coding. GPT-5.2 has better function calling and tool use, which matters for agentic coding workflows.
Should I switch from GPT-5.2 to DeepSeek V3 to save money?
If your workload is primarily coding, math, or data processing, DeepSeek V3 can deliver similar quality at a fraction of the cost. For creative writing, customer-facing content, and tool-use-heavy applications, GPT-5.2 is still worth the premium.
How can I compare them on my own prompts?
LLMWise Compare mode lets you send the same prompt to DeepSeek V3 and GPT-5.2 simultaneously. You will see both outputs side-by-side with token counts, latency, and per-request cost so you can quantify the trade-off for your specific tasks.

Try it yourself

500 free credits. One API key. Nine models. No credit card required.