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HomeModelsGPT-4 Turbo Preview
OpenAIPremium

GPT-4 Turbo Preview

A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.

74
Coding
76
Writing
75
Research
0
Images
22
Value
72
Long Context
Use this when

Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.

Skip this if

You need cutting-edge reasoning, multimodal capabilities, or cost efficiency — nearly every modern alternative offers better value.

Pricing
$10.00/1M in
$30.00/1M out
→0%since May 2026
Context
128k tokens
Speed
Balanced

This is a 'preview' variant that OpenAI has largely deprecated in favor of gpt-4-turbo and gpt-4o. The endpoint may be retired or redirected by OpenAI without notice. Check the OpenAI model deprecation schedule before building production applications on this model.

How to access
API
$10/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
GPT-6 Astra
Cheaper option
GPT-5
Faster option
GPT-4 Turbo

Strengths

128K context window enables processing of entire codebases, legal documents, or long reports in a single pass

Strong instruction-following and structured output generation compared to base GPT-4

Solid performance on complex reasoning and multi-step problem decomposition

Broad general capability across coding, writing, and analysis tasks

Weaknesses

Significantly outdated — superseded by GPT-4o and later models that are faster, cheaper, and more capable

No native multimodal output; cannot generate images or audio

Premium pricing ($10/$30 per 1M tokens) is hard to justify when GPT-4o Mini or Claude Haiku offer similar quality at a fraction of the cost

Real-world use cases

What people actually use GPT-4 Turbo Preview for.

Analyzing a 100-page legal contract and summarizing key obligations and risks

Generating a complete Python microservice with error handling from a detailed spec document

Synthesizing multiple research papers into a structured literature review

How GPT-4 Turbo Preview compares

The nearest models people weigh against it, and what actually separates them.

vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-4 Turbo Preview lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.

vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), GPT-4 Turbo Preview lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.

vs GPT-5 — Against GPT-5 (OpenAI), GPT-4 Turbo Preview costs about 72% more per token and gives up 3.1x on context. GPT-5 is the one to check first if the price difference matters more than the ceiling.

Price History

GPT-4 Turbo Preview pricing over time

→0% since May 31

$10.80$10.40$10.00$9.60$9.20May 31Jun 18Jul 10Jul 27Aug 14Sep 8

90 data points · tracked daily since May 31, 2026

Ready to try it?

Start using GPT-4 Turbo Preview

Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.. Start free — no card required.

Try GPT-4 Turbo Preview freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

Compare alternatives

Similar models worth checking before you commit.

All GPT-4 Turbo Preview alternatives →
OpenAIPremium

GPT-4 Turbo

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.
128K contextGPT-4 classfunction callingOpenAIpremium
Best for
Complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
View model
OpenAIPremium

GPT-4 Turbo (older v1106)

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
3/5 speed
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.
View model
OpenAIBalanced

GPT-5

GPT-5 is OpenAI's flagship multimodal model, superseding GPT-4o with significantly improved reasoning, instruction-following, and knowledge breadth. It handles text, images, and complex multi-step tasks with state-of-the-art performance across most benchmarks.

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
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
400k tokens
Pricing is asymmetric: cheap on input ($1.25/1M) but expensive on output ($10/1M), so it favors read-heavy or summarization tasks over verbose generation. The 400K context window is one of the largest available at this price tier. Supersedes GPT-4o, which remains available at lower cost for lighter workloads.
FlagshipMultimodalLong ContextOpenAIReasoning
Best for
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

OpenAI: GPT-4 Turbo Preview — added to UseRightAI

OpenAI: GPT-4 Turbo Preview (OpenAI) is now indexed. A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.

View model

FAQ

How much does GPT-4 Turbo Preview cost?

GPT-4 Turbo Preview costs $10 per million input tokens and $30 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $160.00 at list price, before any batch or caching discounts.

What is GPT-4 Turbo Preview best for?

GPT-4 Turbo Preview is best for complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.

When should I avoid GPT-4 Turbo Preview?

You need cutting-edge reasoning, multimodal capabilities, or cost efficiency — nearly every modern alternative offers better value.

What is a cheaper alternative to GPT-4 Turbo Preview?

GPT-5 (OpenAI) at $1.25/1M/1M input against GPT-4 Turbo Preview's $10.00/1M/1M — roughly 72% less per token all in. 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. Compare it first if GPT-4 Turbo Preview's pricing is the thing stopping you.

What is a faster alternative to GPT-4 Turbo Preview?

GPT-4 Turbo — balanced against GPT-4 Turbo Preview's balanced, with 128k 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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