A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
82
Coding
80
Writing
83
Research
10
Images
22
Value
80
Long Context
Use this when
Complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
Skip this if
You're cost-sensitive or need real-time speed — GPT-4o Mini, Claude Haiku, or Gemini Flash deliver far better value per dollar for most standard tasks.
Pricing
$5.00/1M in
$15.00/1M out
↓50%since May 2026
Context
128k tokens
Speed
Balanced
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 context window handles full codebases, long legal documents, and lengthy transcripts
Strong instruction-following with reliable JSON mode and function calling
Broad world knowledge with an April 2024 training cutoff
Consistent output quality on complex, multi-turn reasoning tasks
Weaknesses
At $10/$30 per million tokens, it's significantly more expensive than Claude Sonnet 4.6 or Gemini 1.5 Pro for comparable output quality
Largely superseded by GPT-4o and newer OpenAI models that are faster and cheaper
No native image generation capability; multimodal input only, no output
Real-world use cases
What people actually use OpenAI: GPT-4 Turbo for.
Analyzing a 100-page legal contract and extracting key clauses with citations
Generating a full REST API with authentication, error handling, and test coverage from a detailed spec
Synthesizing research across multiple long academic papers into a structured literature review
Price History
OpenAI: GPT-4 Turbo pricing over time
↓50% since May 9
90 data points · tracked daily since May 9, 2026
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Start using OpenAI: GPT-4 Turbo
Complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.. Start free — no card required.
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
Verdict
Best OpenAI flagship for agentic coding, research, and computer-use work.
Quality score
94%
Pricing
$2.50/1M in
$15.00/1M out
Speed
Balanced
Best for agentic coding, computer-use workflows, and complex research tasks
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
The balanced mid-tier of the GPT-5.6 family — GPT-5.5-class capability at a fraction of the price, built for production workloads at scale.
Verdict
Best OpenAI value — near-flagship capability at 60% off.
Quality score
93%
Pricing
$1.00/1M in
$6.00/1M out
Speed
Balanced
Best for high-volume production and enterprise workloads
Context
1.1M tokens
Launched at $2.50/$15, cut to $2/$12 on July 30, 2026. Long-context above 272K: $4/$18. Part of the government-reviewed GPT-5.6 family, fully public July 9, 2026.
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: GPT-4 Turbo is best for complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
When should I avoid OpenAI: GPT-4 Turbo?
You're cost-sensitive or need real-time speed — GPT-4o Mini, Claude Haiku, or Gemini Flash deliver far better value per dollar for most standard tasks.
What is a cheaper alternative to OpenAI: GPT-4 Turbo?
Mistral: Mistral Nemo 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-4 Turbo?
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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