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HomeModelsOpenAI: GPT-5 Codex
OpenAIBalanced

OpenAI: GPT-5 Codex

A serious coding model with repository-scale context that earns its place in any developer's toolkit.

93
Coding
52
Writing
68
Research
0
Images
58
Value
88
Long Context
Use this when

Professional developers who need to reason across large codebases, generate production-ready code, and debug complex multi-file projects.

Skip this if

You need image generation, creative writing, or general-purpose chat — there are better-value models for non-coding tasks.

Pricing
$0.63/1M in
$5.00/1M out
↓50%since May 2026
Context
400k tokens
Speed
Balanced

The $10/1M output cost means heavy code generation workloads can get expensive fast — budget carefully for bulk generation use cases. Context window of 400K is among the largest in its price tier. Supersedes GPT-4o, so existing GPT-4o coding workflows should consider migrating for improved performance.

How to access
API
$0.625/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Fable 5
Cheaper option
Mistral: Mistral Nemo
Faster option
GPT-5.5

Strengths

400K context window enables ingesting entire repositories or large monorepos in a single prompt

Coding-optimized architecture outperforms standard GPT-5 on code generation and refactoring benchmarks

Competitive $1.25/1M input pricing makes large-context coding tasks cost-effective compared to Claude Sonnet 4.6

Strong multi-language support across Python, TypeScript, Rust, Go, and systems-level languages

Weaknesses

Output cost of $10/1M tokens adds up quickly for verbose code generation or documentation tasks

Not a general-purpose reasoning model — creative writing, nuanced analysis, and image tasks are outside its sweet spot

No native image generation or multimodal output capabilities

Real-world use cases

What people actually use OpenAI: GPT-5 Codex for.

Loading an entire Node.js monorepo into context and asking for a cross-cutting refactor to a new authentication pattern

Debugging a complex multi-file Rust application by ingesting all source files and error logs simultaneously

Generating comprehensive unit test suites for a large Python Django application with full codebase context

Price History

OpenAI: GPT-5 Codex pricing over time

↓50% since May 9

$1.35$1.16$0.963$0.769$0.575May 9May 27Jun 14Jul 5Jul 23Aug 9

88 data points · tracked daily since May 9, 2026

Ready to try it?

Start using OpenAI: GPT-5 Codex

Professional developers who need to reason across large codebases, generate production-ready code, and debug complex multi-file projects.. Start free — no card required.

Try OpenAI: GPT-5 Codex freeCompare alternatives

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

Compare alternatives

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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
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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.
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Best for
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OpenAIPremium

GPT-5.6 Sol

The flagship of OpenAI's GPT-5.6 family — its most capable reasoning and agentic-coding model, with an 'ultra' mode that spawns sub-agents for long autonomous workflows.

Verdict
Best OpenAI flagship — leads terminal coding and agentic browsing.
Quality score
96%
Pricing
$2.50/1M in
$15.00/1M out
Speed
Deliberate
Best for frontier agentic coding, deep research, and hardest reasoning tasks
Context
1.1M tokens
First frontier model family to clear a customer-by-customer US government review: limited preview June 26, full public release July 9, 2026. Pricing $5/$30 ($10/$45 above 272K context). Knowledge cutoff Feb 16, 2026.
AgenticReasoningFlagshipSub-agentsPremium
Best for
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OpenAIBalanced

GPT-5.6 Terra

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.
ProductionCodingLong contextValue
Best for
High-volume production and enterprise workloads
View model

Change history

Pricing moves, ranking shifts, and capability updates.

PricingAug 7, 2026

OpenAI: GPT-5 Codex — output price cut

OpenAI: GPT-5 Codex output pricing changed from $10.00/1M to $5.00/1M (↓ cheaper, 50% cut).

View model
PricingAug 7, 2026

OpenAI: GPT-5 Codex — input price cut

OpenAI: GPT-5 Codex input pricing changed from $1.25/1M to $0.63/1M (↓ cheaper, 50% cut).

View model
New ModelMar 27, 2026

OpenAI: GPT-5 Codex — added to UseRightAI

OpenAI: GPT-5 Codex (OpenAI) is now indexed. It supersedes GPT-4o. A serious coding model with repository-scale context that earns its place in any developer's toolkit.

View model

FAQ

What is OpenAI: GPT-5 Codex best for?

OpenAI: GPT-5 Codex is best for professional developers who need to reason across large codebases, generate production-ready code, and debug complex multi-file projects.. 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 Codex?

You need image generation, creative writing, or general-purpose chat — there are better-value models for non-coding tasks.

What is a cheaper alternative to OpenAI: GPT-5 Codex?

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-5 Codex?

GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.

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