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DeepSeek V4 vs GPT-4o (11-20)

DeepSeek V4 (2026) and GPT-4o (11-20) (2024) are frontier reasoning models from DeepSeek and OpenAI. DeepSeek V4 ships a 1M-token context window, while GPT-4o (11-20) ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

DeepSeek V4 fits 8x more tokens; pick it for long-context work and GPT-4o (11-20) for tighter calls.

Specs

Specification
Released2026-04-242024-11-20
Context window1M128K
Parameters1.6T1.76T (8x222B MoE)*
Architecturemixture of expertsmixture of experts
LicenseMITProprietary
Knowledge cutoff-2023-10

Pricing and availability

Pricing attributeDeepSeek V4GPT-4o (11-20)
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityDeepSeek V4GPT-4o (11-20)
VisionNoYes
MultimodalNoNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4o (11-20), reasoning mode: DeepSeek V4, function calling: DeepSeek V4, tool use: DeepSeek V4, structured outputs: DeepSeek V4, and code execution: GPT-4o (11-20). 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 V4 has no token price sourced yet and GPT-4o (11-20) has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V4 when reasoning depth and larger context windows are central to the workload. Choose GPT-4o (11-20) when coding workflow support 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 V4 or GPT-4o (11-20)?

DeepSeek V4 supports 1M tokens, while GPT-4o (11-20) 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 V4 or GPT-4o (11-20) open source?

DeepSeek V4 is listed under MIT. GPT-4o (11-20) 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 V4 or GPT-4o (11-20)?

GPT-4o (11-20) 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for reasoning mode, DeepSeek V4 or GPT-4o (11-20)?

DeepSeek V4 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, DeepSeek V4 or GPT-4o (11-20)?

DeepSeek V4 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

When should I pick DeepSeek V4 over GPT-4o (11-20)?

DeepSeek V4 fits 8x more tokens; pick it for long-context work and GPT-4o (11-20) for tighter calls. If your workload also depends on reasoning depth, start with DeepSeek V4; if it depends on coding workflow support, run the same evaluation with GPT-4o (11-20).

Continue comparing

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