The go-to model when you need the right answer, not the fast answer.
92
Coding
55
Writing
90
Research
0
Images
45
Value
82
Long Context
Use this when
Tackling hard technical problems — from competition-level math to multi-step code debugging — where accuracy matters more than speed.
Skip this if
You need fast responses for conversational use, creative writing, or image-related tasks — or if your budget is tight and tasks don't require deep reasoning.
Pricing
$2.00/1M in
$8.00/1M out
→0%since May 2026
Context
200k tokens
Speed
Deliberate
Pricing at $2/$8 per 1M input/output tokens is moderate for a reasoning model, but long internal reasoning traces can significantly inflate output token counts. Not available via all API tiers — check OpenAI access levels.
Top-tier performance on complex mathematical and logical reasoning tasks
Strong multi-step code generation and debugging with self-verification
200K context window allows analysis of large codebases or research documents
Significantly outperforms o1 on ARC-AGI and AIME benchmarks
Weaknesses
Deliberate reasoning means latency is high — unsuitable for real-time or chat applications
At $8/1M output tokens, costs can escalate quickly on long reasoning chains
Not designed for creative writing, image tasks, or casual conversation
Real-world use cases
What people actually use OpenAI: o3 for.
Solving multi-step competition math problems (AMC/AIME level) with full working
Auditing a large codebase for security vulnerabilities with reasoned explanations
Synthesizing conflicting findings across a 150-page scientific literature review
Price History
OpenAI: o3 pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
Ready to try it?
Start using OpenAI: o3
Tackling hard technical problems — from competition-level math to multi-step code debugging — where accuracy matters more than speed.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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AgenticCodingComputer useLong contextPremium
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Agentic coding, computer-use workflows, and complex research tasks
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
Best for complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
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.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
Verdict
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Quality score
66%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
Best for teams requiring a pinned, stable version of gpt-4 turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
Context
128k tokens
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
Legacy128K ContextPinned SnapshotGPT-4Premium
Best for
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
OpenAI: o3 is best for tackling hard technical problems — from competition-level math to multi-step code debugging — where accuracy matters more than speed.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
When should I avoid OpenAI: o3?
You need fast responses for conversational use, creative writing, or image-related tasks — or if your budget is tight and tasks don't require deep reasoning.
What is a cheaper alternative to OpenAI: o3?
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: o3?
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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