A polished, capable flagship that earns its place but faces stiff competition at its price point.
85
Coding
88
Writing
82
Research
30
Images
45
Value
52
Long Context
Use this when
Complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.
Skip this if
You need to process documents exceeding 128K tokens, require native image generation, or are running high-throughput workloads where cost-per-token is a primary constraint.
Significantly improved instruction-following and task decomposition over GPT-4o
Strong coding performance competitive with Claude Sonnet 4.6 on real-world benchmarks
Better calibration and reduced hallucination rate compared to its predecessors
Competent multimodal understanding for image analysis and mixed-media tasks
Weaknesses
128K context window falls short of Gemini 3.1 Pro's 1M+ token window for large document tasks
Output cost of $10/1M tokens makes high-volume production pipelines expensive compared to GPT-4o Mini or Haiku equivalents
No native image generation; image tasks require routing to separate DALL-E or other endpoints
Monthly cost estimate
See what OpenAI: GPT-5 Chat actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$1.25
Output cost
$5.00
Total / month
$6.25
Based on OpenAI: GPT-5 Chat API pricing: $1.25/1M input · $10/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
OpenAI: GPT-5 Chat pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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OpenAI: GPT-5
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Verdict
OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability.
Quality score
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Pricing
$1.25/1M in
$10.00/1M out
Speed
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Best for high-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
Context
400k tokens
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FlagshipMultimodalLong ContextOpenAIReasoning
Best for
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
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
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.
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.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5 Chat — added to UseRightAI
OpenAI: GPT-5 Chat (OpenAI) is now indexed. It supersedes GPT-4o. A polished, capable flagship that earns its place but faces stiff competition at its price point.
OpenAI: GPT-5 Chat is best for complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid OpenAI: GPT-5 Chat?
You need to process documents exceeding 128K tokens, require native image generation, or are running high-throughput workloads where cost-per-token is a primary constraint.
What is a cheaper alternative to OpenAI: GPT-5 Chat?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to OpenAI: GPT-5 Chat?
OpenAI: GPT-5 is the better pick when response time matters more than maximum depth or premium quality.
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