A solid GPT-5 series refinement with strong reasoning, but its output pricing makes it hard to recommend over Claude Sonnet 4.6 unless you're OpenAI-first.
82
Coding
84
Writing
79
Research
0
Images
42
Value
65
Long Context
Use this when
Professionals and developers who need reliable, high-quality text generation and reasoning at a cost that scales reasonably with usage.
Skip this if
Avoid if your workload is cost-sensitive, heavily multimodal, or requires context windows beyond 128K — competitors offer better value or longer context at similar price points.
Pricing
$1.75/1M in
$14.00/1M out
→0%since May 2026
Context
128k tokens
Speed
Balanced
Output cost of $14/1M tokens is the primary budget consideration — workloads with high output-to-input ratios will accumulate costs quickly. No image generation capability. Supersedes GPT-5.2, which should be deprecated or deprioritized.
Strong instruction-following with improved consistency over GPT-5.2
Competitive reasoning quality for complex multi-step tasks at its price tier
Well-calibrated outputs with low hallucination rate compared to similarly priced models
128K context window handles most real-world document and codebase workflows
Weaknesses
Output cost of $14/1M tokens is steep compared to Claude Sonnet 4.6 (~$15) and Gemini 3.1 Pro, offering less differentiation at this tier
No native image generation or vision-first capabilities, limiting multimodal workflows
128K context falls short of Gemini 3.1 Pro's longer context options for large-scale document analysis
Real-world use cases
What people actually use GPT-5.3 Chat for.
Drafting and iterating on technical documentation with consistent formatting and tone
Writing and debugging moderately complex code with detailed explanations
Synthesizing research from long documents or reports up to 128K tokens
How GPT-5.3 Chat compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 — Against GPT-4 (OpenAI), GPT-5.3 Chat runs about 83% cheaper per token and takes 15.6x the context. Take GPT-5.3 Chat unless you specifically need what GPT-4 does better.
vs GPT-4 (older v0314) — Against GPT-4 (older v0314) (OpenAI), GPT-5.3 Chat runs about 83% cheaper per token and takes 15.6x the context. Take GPT-5.3 Chat unless you specifically need what GPT-4 (older v0314) does better.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-5.3 Chat runs about 61% cheaper per token. Take GPT-5.3 Chat unless you specifically need what GPT-4 Turbo does better.
Price History
GPT-5.3 Chat pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using GPT-5.3 Chat
Professionals and developers who need reliable, high-quality text generation and reasoning at a cost that scales reasonably with usage.. Start free — no card required.
GPT-4 is OpenAI's original flagship large language model, released in March 2023, offering strong reasoning and instruction-following across text tasks. It represents the foundational GPT-4 release before later variants like GPT-4 Turbo or GPT-4o improved speed, cost, and context length.
Verdict
A once-groundbreaking model now badly outclassed by cheaper, faster, and more capable successors — only use it if you have no choice.
Quality score
51%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
At $30/$60 per million tokens, this is one of the most expensive text-only models available. The 8,191-token context window is a hard ceiling that makes it unsuitable for most document-processing tasks. OpenAI continues to offer it for API backward compatibility but actively recommends migrating to GPT-4o or GPT-4 Turbo. New projects should not default to this model.
Legacy flagshipText-onlyHigh costOpenAIGPT-4
Best for
Teams or workflows locked into the original GPT-4 API that require reliable, high-quality text reasoning without needing long context or multimodal input.
GPT-4 v0314 is a frozen snapshot of the original GPT-4 release from March 2023, preserved for reproducibility and regression testing. It offers the same core reasoning capabilities as early GPT-4 but lacks all subsequent improvements, fine-tuning updates, and safety refinements.
Verdict
An expensive museum piece: only justified if you need this exact model snapshot for legacy reproducibility.
Quality score
40%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
This is a frozen March 2023 snapshot of GPT-4, not a current model. OpenAI may deprecate legacy snapshots with limited notice. The 8,191-token context window is a hard constraint. Cost is identical to much more capable current models, making this a poor choice for new projects.
LegacyGPT-4Version-lockedResearchDeprecated
Best for
Reproducible research or legacy workflows that require consistent, version-locked GPT-4 outputs.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5.3 Chat — added to UseRightAI
OpenAI: GPT-5.3 Chat (OpenAI) is now indexed. It supersedes GPT-5.2. A solid GPT-5 series refinement with strong reasoning, but its output pricing makes it hard to recommend over Claude Sonnet 4.6 unless you're OpenAI-first.
GPT-5.3 Chat costs $1.75 per million input tokens and $14 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $45.50 at list price, before any batch or caching discounts.
What is GPT-5.3 Chat best for?
GPT-5.3 Chat is best for professionals and developers who need reliable, high-quality text generation and reasoning at a cost that scales reasonably with usage.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid GPT-5.3 Chat?
Avoid if your workload is cost-sensitive, heavily multimodal, or requires context windows beyond 128K — competitors offer better value or longer context at similar price points.
What is a cheaper alternative to GPT-5.3 Chat?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5.3 Chat's $1.75/1M/1M — roughly 29% less per token all in. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5.3 Chat's pricing is the thing stopping you.
What is a faster alternative to GPT-5.3 Chat?
GPT-4 — balanced against GPT-5.3 Chat's balanced, with 8k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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