GPT-3.5 Turbo Instruct (OpenAI) and GPT-5.3-Codex (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 17 August 2026
As of 17 August 2026, GPT-5.3-Codex holds the stronger ModelCap Index position (#20 vs #107); GPT-3.5 Turbo Instruct is 7× cheaper per output token ($2.00/1M vs $14.00/1M); and GPT-5.3-Codex offers the longer context window (400K vs 4K tokens).
Evidence: publisher corpus prior · leave-one-anchor-out calibrated · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-3.5 Turbo Instruct vs GPT-5.3-Codex
Public benchmark boards where GPT-3.5 Turbo Instruct or GPT-5.3-Codex has a published result
GPT-3.5 Turbo Instruct vs GPT-5.3-Codex: common questions
Is GPT-3.5 Turbo Instruct better than GPT-5.3-Codex?
GPT-5.3-Codex ranks higher on the ModelCap Index as of 17 August 2026: #20 against #107. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.
Is GPT-3.5 Turbo Instruct cheaper than GPT-5.3-Codex?
GPT-3.5 Turbo Instruct is cheaper on output tokens: $2.00/1M against $14.00/1M. Input tokens are $1.50/1M for GPT-3.5 Turbo Instruct and $1.75/1M for GPT-5.3-Codex. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.
Which has the bigger context window, GPT-3.5 Turbo Instruct or GPT-5.3-Codex?
GPT-5.3-Codex has the larger context window: 400K tokens against 4K.
Which is better for coding, GPT-3.5 Turbo Instruct or GPT-5.3-Codex?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are GPT-3.5 Turbo Instruct and GPT-5.3-Codex open-weight models?
GPT-3.5 Turbo Instruct: API only. GPT-5.3-Codex: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run GPT-3.5 Turbo Instruct and GPT-5.3-Codex?
ModelCap currently lists 1 API provider for GPT-3.5 Turbo Instruct and 2 for GPT-5.3-Codex, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-3.5 Turbo Instruct vs GPT-5.3-Codex comparison?
Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.