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GPT-5 vs GPT-5.2-Codex

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose GPT-5 if you need

  • higher measured intelligence and coding specialization for technical multimodal workflows
  • seamless text-image integration with proven large-context handling
  • maximum performance on extended coding or analysis tasks despite higher cost

Choose GPT-5.2-Codex if you need

  • lower output price at $10 per million tokens for budget-conscious deployments
  • faster generation speed of 167.38 t/s when throughput matters most
  • native multimodal input support including files alongside text and images

Verdict

GPT-5.2-Codex leads decisively on intelligence (40.1 vs 15.3) and coding specialization while matching GPT-5's 400k context, making it the stronger choice for complex multimodal coding tasks. GPT-5 counters with lower price ($10 vs $14 per 1M tokens) and higher output speed (167.38 vs 145.81 t/s), suiting cost-sensitive or latency-focused workloads. Both share identical context limits and OpenAI provenance, but Codex's verified strengths outweigh GPT-5's unverified hypothetical status in measurable performance dimensions.

GPT-5 vs GPT-5.2-Codex: side by side

SpecGPT-5GPT-5.2-CodexWinner
Intelligence15.340.1GPT-5.2-Codex
Output speed167 t/s146 t/sGPT-5
Output price$10.00/1M$14.00/1MGPT-5
Context400K400KTie
ParamsTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.2-Codex

GPT-5.2-Codex posts a substantially higher intelligence_index of 40.1 compared to GPT-5's 15.3. This gap indicates stronger reasoning capability on complex multimodal inputs. GPT-5's lower score aligns with its noted unverified performance limitations.

Speed

Winner: GPT-5

GPT-5 delivers faster output at 167.38 tokens per second versus GPT-5.2-Codex at 145.81 t/s. The speed advantage favors GPT-5 for high-volume generation. Both models share the same 400k context, so speed differences are independent of context length.

Pricing

Winner: GPT-5

GPT-5 is priced at $10 per million output tokens, undercutting GPT-5.2-Codex at $14. The 30% cost reduction makes GPT-5 preferable for price-sensitive applications. No other pricing dimensions are provided in the data.

Multimodal Capabilities

Winner: Tie

Both models handle text and images with 400k context and large-input support. GPT-5.2-Codex emphasizes coding specialization while GPT-5 highlights native file integration. Neither supports audio or video per their listed limitations.

GPT-5

Pros

  • +Very large context window
  • +Native multimodal input support
  • +Seamless text-image-file integration

Cons

  • Hypothetical model with unverified performance
  • High resource demands for maximum context
  • Potential latency on large multimodal tasks
Full GPT-5 review →

GPT-5.2-Codex

Pros

  • +Very large context window for extended inputs
  • +Strong coding specialization
  • +Seamless integration of text and image data

Cons

  • Restricted to text and image modalities
  • High resource demands at maximum context length
  • No native support for audio or video
Full GPT-5.2-Codex review →

Summary: GPT-5 vs GPT-5.2-Codex

Select GPT-5.2-Codex when intelligence and coding performance are paramount despite the higher price. Choose GPT-5 for faster, cheaper inference on general multimodal tasks. The two models are otherwise closely matched on context size and provider.

Frequently asked questions

GPT-5.2-Codex is better for intelligence-heavy coding tasks while GPT-5 is better for speed and cost; the choice depends on specific priorities rather than a universal winner.

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