DeepSeek V3 Base vs GPT-4o Search Preview
DeepSeek V3 Base (2024) and GPT-4o Search Preview (2025) are compact production models from DeepSeek and OpenAI. DeepSeek V3 Base ships a 128k-token context window, while GPT-4o Search Preview ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GPT-4o Search Preview is safer overall; choose DeepSeek V3 Base when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 Base | GPT-4o Search Preview |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Long context | RAG, Long context, and Classification |
| Context window | 128k | 128k |
| Cheapest output | - | $10/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags DeepSeek V3 Base for Long context.
- GPT-4o Search Preview has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4o Search Preview uniquely exposes Structured outputs in local model data.
- Local decision data tags GPT-4o Search Preview for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3 Base
Unavailable
No complete token price in local provider data
GPT-4o Search Preview
$4,500
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3 Base and GPT-4o Search Preview; plan for SDK, billing, or endpoint changes.
- GPT-4o Search Preview adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for GPT-4o Search Preview and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2025-02-26 |
| Context window | 128k | 128k |
| Parameters | 671B total, 37B active (MoE) | — |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2024-07 | 2023-10 |
Pricing and availability
| Pricing attribute | DeepSeek V3 Base | GPT-4o Search Preview |
|---|---|---|
| Input price | - | $2.50/1M tokens |
| Output price | - | $10/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 Base | GPT-4o Search Preview |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on structured outputs: GPT-4o Search Preview. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: DeepSeek V3 Base has no token price sourced yet and GPT-4o Search Preview has $2.50/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V3 Base when provider fit are central to the workload. Choose GPT-4o Search Preview when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, DeepSeek V3 Base or GPT-4o Search Preview?
DeepSeek V3 Base supports 128k tokens, while GPT-4o Search Preview supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3 Base or GPT-4o Search Preview open source?
DeepSeek V3 Base is listed under MIT. GPT-4o Search Preview is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, DeepSeek V3 Base or GPT-4o Search Preview?
GPT-4o Search Preview has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3 Base and GPT-4o Search Preview?
DeepSeek V3 Base is available on the tracked providers still being sourced. GPT-4o Search Preview is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick DeepSeek V3 Base over GPT-4o Search Preview?
GPT-4o Search Preview is safer overall; choose DeepSeek V3 Base when provider fit matters. If your workload also depends on provider fit, start with DeepSeek V3 Base; if it depends on provider fit, run the same evaluation with GPT-4o Search Preview.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.