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GPT-5.2 Codex vs Grok 4.3 Beta

GPT-5.2 Codex (2025) and Grok 4.3 Beta (2026) are agentic coding models from OpenAI and xAI. GPT-5.2 Codex ships a not-yet-sourced context window, while Grok 4.3 Beta ships a 2M-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.

Grok 4.3 Beta is safer overall; choose GPT-5.2 Codex when coding workflow support matters.

Specs

Released2025-12-182026-04-17
Context window2M
Parameters~0.5T
Architecturedecoder only-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

GPT-5.2 CodexGrok 4.3 Beta
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

GPT-5.2 CodexGrok 4.3 Beta
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Grok 4.3 Beta and code execution: GPT-5.2 Codex. Both models share vision, multimodal input, reasoning mode, and function calling, 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: GPT-5.2 Codex has no token price sourced yet and Grok 4.3 Beta 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 GPT-5.2 Codex when coding workflow support are central to the workload. Choose Grok 4.3 Beta when vision-heavy evaluation 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

Is GPT-5.2 Codex or Grok 4.3 Beta open source?

GPT-5.2 Codex is listed under Proprietary. Grok 4.3 Beta 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, GPT-5.2 Codex or Grok 4.3 Beta?

Both GPT-5.2 Codex and Grok 4.3 Beta expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, GPT-5.2 Codex or Grok 4.3 Beta?

Both GPT-5.2 Codex and Grok 4.3 Beta expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, GPT-5.2 Codex or Grok 4.3 Beta?

Both GPT-5.2 Codex and Grok 4.3 Beta expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for function calling, GPT-5.2 Codex or Grok 4.3 Beta?

Both GPT-5.2 Codex and Grok 4.3 Beta expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

When should I pick GPT-5.2 Codex over Grok 4.3 Beta?

Grok 4.3 Beta is safer overall; choose GPT-5.2 Codex when coding workflow support matters. If your workload also depends on coding workflow support, start with GPT-5.2 Codex; if it depends on vision-heavy evaluation, run the same evaluation with Grok 4.3 Beta.

Continue comparing

Last reviewed: 2026-04-25. Data sourced from public model cards and provider documentation.