LLM Reference

DeepSeek V3 Base vs GPT-4 Vision Preview

DeepSeek V3 Base (2024) and GPT-4 Vision Preview (2023) are compact production models from DeepSeek and OpenAI. DeepSeek V3 Base ships a 128k-token context window, while GPT-4 Vision 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.

DeepSeek V3 Base is safer overall; choose GPT-4 Vision Preview when coding workflow support matters.

Decision scorecard

Local evidence first
SignalDeepSeek V3 BaseGPT-4 Vision Preview
Best forgeneral production evaluationmultimodal apps
Decision fitLong contextCoding, Agents, and Long context
Context window128k128k
Cheapest output-$40/1M tokens
Provider routes0 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose DeepSeek V3 Base when...
  • Local decision data tags DeepSeek V3 Base for Long context.
Choose GPT-4 Vision Preview when...
  • GPT-4 Vision Preview has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-4 Vision Preview uniquely exposes Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags GPT-4 Vision Preview for Coding, Agents, and Long context.

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-4 Vision Preview

$18,000

Cheapest tracked route/tier: Azure OpenAI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

DeepSeek V3 Base -> GPT-4 Vision Preview
  • No overlapping tracked provider route is sourced for DeepSeek V3 Base and GPT-4 Vision Preview; plan for SDK, billing, or endpoint changes.
  • GPT-4 Vision Preview adds Vision, Multimodal, and Code execution in local capability data.
GPT-4 Vision Preview -> DeepSeek V3 Base
  • No overlapping tracked provider route is sourced for GPT-4 Vision Preview and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.

Specs

Specification
Released2024-12-262023-11-06
Context window128k128k
Parameters671B total, 37B active (MoE)1.76T (8x222B MoE)*
ArchitectureMixture of ExpertsMixture of Experts
LicenseMITOSI-approvedProprietary
OpennessOpen sourceProprietary
Commercial useCommercial use: permittedCommercial use: conditional
Knowledge cutoff2024-072023-04

Pricing and availability

Pricing attributeDeepSeek V3 BaseGPT-4 Vision Preview
Input price-$10/1M tokens
Output price-$40/1M tokens
Providers-

Capabilities

CapabilityDeepSeek V3 BaseGPT-4 Vision Preview
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4 Vision Preview, multimodal input: GPT-4 Vision Preview, and code execution: GPT-4 Vision 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-4 Vision Preview has $10/1M 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-4 Vision Preview when coding workflow support 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.

FAQ

Which has a larger context window, DeepSeek V3 Base or GPT-4 Vision Preview?

DeepSeek V3 Base supports 128k tokens, while GPT-4 Vision 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-4 Vision Preview open source?

DeepSeek V3 Base is listed under MIT. GPT-4 Vision 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 vision, DeepSeek V3 Base or GPT-4 Vision Preview?

GPT-4 Vision Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, DeepSeek V3 Base or GPT-4 Vision Preview?

GPT-4 Vision Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for code execution, DeepSeek V3 Base or GPT-4 Vision Preview?

GPT-4 Vision Preview has the clearer documented code execution signal in this comparison. If code execution 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-4 Vision Preview?

DeepSeek V3 Base is available on the tracked providers still being sourced. GPT-4 Vision Preview is available on Azure OpenAI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.