GPT-5.4 Pro vs GPT-5 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-5.4 Pro if you need
- ✓Choose GPT-5 Codex if you need the lowest output price at $10 per million tokens.
- ✓Choose GPT-5 Codex if you need documented output speed of 149.9 tokens per second.
- ✓Choose GPT-5 Codex if you need strong coding specialization with unified text and image reasoning.
- ✓Choose GPT-5 Codex if you need effective handling of 400k-token inputs without maximum-context overhead.
Choose GPT-5 Codex if you need
- ✓Choose GPT-5.4 Pro if you need the largest context window at 1.05 million tokens.
- ✓Choose GPT-5.4 Pro if you need strong integration of text, image, and file data together.
- ✓Choose GPT-5.4 Pro if you need advanced reasoning over extended document and visual contexts.
- ✓Choose GPT-5.4 Pro if you need versatility across document and visual tasks beyond static images.
Verdict
GPT-5 Codex leads on measurable speed and price while offering explicit coding strengths and unified text-image reasoning at a 400k context. GPT-5.4 Pro leads on raw context size (1.05M) and broader file integration but lacks published speed or intelligence scores and costs 18x more. Codex is the practical choice for cost-sensitive coding workloads; GPT-5.4 Pro suits users needing maximum context and multi-file reasoning.
GPT-5.4 Pro vs GPT-5 Codex: side by side
| Spec | GPT-5.4 Pro | GPT-5 Codex | Winner |
|---|---|---|---|
| Intelligence | — | 44.6 | Tie |
| Output speed | — | 150 t/s | Tie |
| Output price | $180.00/1M | $10.00/1M | GPT-5 Codex |
| Context | 1050K | 400K | GPT-5.4 Pro |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | OpenAI | Tie |
Detailed analysis
Pricing
Winner: GPT-5 CodexGPT-5 Codex is listed at $10 per million output tokens. GPT-5.4 Pro is listed at $180 per million output tokens, making Codex 18 times cheaper on the published metric.
Context Length
Winner: GPT-5.4 ProGPT-5.4 Pro supports a 1,050,000-token context. GPT-5 Codex supports a 400,000-token context, so GPT-5.4 Pro handles substantially longer inputs.
Speed
Winner: GPT-5 CodexGPT-5 Codex publishes an output speed of 149.9 tokens per second. No speed figure is provided for GPT-5.4 Pro, preventing direct comparison on this dimension.
Multimodal Integration
Winner: GPT-5.4 ProGPT-5.4 Pro explicitly integrates text, image, and file data with advanced reasoning over extended contexts. GPT-5 Codex focuses on unified text and image reasoning plus coding specialization but does not mention file support.
GPT-5.4 Pro
Pros
- +Handles very large inputs across modalities
- +Strong integration of text, image, and file data
- +Advanced reasoning over extended contexts
- +Versatile for document and visual tasks
Cons
- –Higher latency on maximum-length inputs
- –No native audio or video support
- –Proprietary access with usage constraints
GPT-5 Codex
Pros
- +Handles extremely large inputs effectively
- +Strong coding specialization
- +Unified text and image reasoning
Cons
- –High resource demands with maximum context
- –Limited to text and static images
- –Potential coherence loss in very long outputs
Summary: GPT-5.4 Pro vs GPT-5 Codex
Select GPT-5 Codex when speed, cost, and coding tasks matter most within a 400k context. Select GPT-5.4 Pro when the largest context and file-inclusive multimodal reasoning are required despite higher cost and unknown speed. Both remain proprietary OpenAI models with no public parameter counts.
Frequently asked questions
GPT-5 Codex at $10 per million output tokens versus GPT-5.4 Pro at $180 per million output tokens.