GPT-4 Vision Preview vs GPT-5.3-Codex
GPT-4 Vision Preview (2023) and GPT-5.3-Codex (2026) compare a standalone API model against a coding-specialized model. GPT-4 Vision Preview ships a 128k-token context window, while GPT-5.3-Codex ships a 400k-token context window. On pricing, GPT-5.3-Codex costs $1.75/1M input tokens versus $10/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GPT-4 Vision Preview is standalone API model, while GPT-5.3-Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GPT-4 Vision Preview | GPT-5.3-Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal apps | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 128k | 400k |
| Cheapest output | $40/1M tokens | $14/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 Vision Preview uniquely exposes Multimodal in local model data.
- Local decision data tags GPT-4 Vision Preview for Coding, Agents, and Long context.
- GPT-5.3-Codex has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.3-Codex has the lower cheapest tracked output price at $14/1M tokens.
- GPT-5.3-Codex has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.3-Codex uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags GPT-5.3-Codex for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Vision Preview
$18,000
Cheapest tracked route/tier: Azure OpenAI
GPT-5.3-Codex
$4,900
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $13,100. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Vision Preview and GPT-5.3-Codex; plan for SDK, billing, or endpoint changes.
- GPT-5.3-Codex is $26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal before moving production traffic.
- GPT-5.3-Codex adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.3-Codex and GPT-4 Vision Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Vision Preview is $26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- GPT-4 Vision Preview adds Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2026-02-05 |
| Context window | 128k | 400k |
| Parameters | 1.76T (8x222B MoE)* | — |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2023-04 | 2025-08 |
Pricing and availability
| Pricing attribute | GPT-4 Vision Preview | GPT-5.3-Codex |
|---|---|---|
| Input price | $10/1M tokens | $1.75/1M tokens |
| Output price | $40/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Vision Preview | GPT-5.3-Codex |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: GPT-4 Vision Preview, reasoning mode: GPT-5.3-Codex, function calling: GPT-5.3-Codex, tool use: GPT-5.3-Codex, and structured outputs: GPT-5.3-Codex. Both models share vision and code execution, 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.
For cost, GPT-4 Vision Preview lists $10/1M input and $40/1M output tokens on the cheapest tracked provider, while GPT-5.3-Codex lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-5.3-Codex lower by about $13.57 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose GPT-4 Vision Preview when coding workflow support are central to the workload. Choose GPT-5.3-Codex when coding workflow support, larger context windows, and lower input-token cost 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, GPT-4 Vision Preview or GPT-5.3-Codex?
GPT-5.3-Codex supports 400k 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.
Which is cheaper, GPT-4 Vision Preview or GPT-5.3-Codex?
GPT-5.3-Codex is cheaper on tracked token pricing. GPT-4 Vision Preview costs $10/1M input and $40/1M output tokens. GPT-5.3-Codex costs $1.75/1M input and $14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Vision Preview or GPT-5.3-Codex open source?
GPT-4 Vision Preview is listed under Proprietary. GPT-5.3-Codex 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-4 Vision Preview or GPT-5.3-Codex?
Both GPT-4 Vision Preview and GPT-5.3-Codex 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-4 Vision Preview or GPT-5.3-Codex?
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.
Where can I run GPT-4 Vision Preview and GPT-5.3-Codex?
GPT-4 Vision Preview is available on Azure OpenAI. GPT-5.3-Codex is available on OpenRouter, OpenAI API, and Vercel AI Gateway. 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.