The sharpest budget coding model available if you need speed, volume, and a long context window without breaking your API budget.
88
Coding
52
Writing
58
Research
0
Images
91
Value
82
Long Context
Use this when
High-volume code generation, autocomplete pipelines, and developer tooling where cost efficiency matters more than peak reasoning depth.
Skip this if
You need deep mathematical reasoning, complex architecture design decisions, or multimodal inputs — use GPT-5.1 or Claude Sonnet 4.6 instead.
Pricing
$0.25/1M in
$2.00/1M out
→0%since May 2026
Context
400k tokens
Speed
Very fast
At $2/1M output tokens, costs can accumulate in verbose code-generation tasks — monitor output token usage carefully in agentic loops. Not a general-purpose flagship replacement; best deployed alongside a stronger model for planning/reasoning layers.
Exceptional value for code tasks at $0.25/1M input tokens — roughly 10x cheaper than GPT-5.1 flagship
400K context window handles large repositories, multi-file diffs, and long test suites in a single pass
Codex-tuned weights give it an edge over generic budget models like GPT-4o-mini on syntax accuracy and boilerplate generation
Fast inference makes it suitable for real-time IDE integrations and agentic coding loops
Weaknesses
Weaker at complex multi-step algorithmic reasoning compared to full GPT-5.1 or Claude Sonnet 4.6
Non-code creative writing and nuanced instruction-following lag behind frontier models
No native image input support limits multimodal coding tasks like UI-from-screenshot generation
Real-world use cases
What people actually use OpenAI: GPT-5.1-Codex-Mini for.
Generating boilerplate REST API endpoints across a 50-file codebase loaded in full context
Running automated code review comments on large pull requests in a CI/CD pipeline
Powering an IDE autocomplete plugin that requires low-latency, high-throughput inference
Price History
OpenAI: GPT-5.1-Codex-Mini pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
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High-volume code generation, autocomplete pipelines, and developer tooling where cost efficiency matters more than peak reasoning depth.. 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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OpenAI: GPT-5 Mini
GPT-5 Mini is OpenAI's budget-tier distillation of GPT-5, designed for high-volume, cost-sensitive tasks that don't require full flagship reasoning depth. It supersedes GPT-4o with improved instruction following and a massively expanded 400K context window at a fraction of the cost.
Verdict
The new budget default for OpenAI API users: faster, cheaper, and smarter than GPT-4o with a context window that punches well above its price tier.
Quality score
66%
Pricing
$0.25/1M in
$2.00/1M out
Speed
Very fast
Best for high-volume production workloads — chatbots, summarization pipelines, and document q&a — where cost efficiency matters more than peak reasoning.
Context
400k tokens
Output cost of $2/1M tokens is higher than some competing budget models (Gemini Flash at ~$0.60/1M output). At scale, output-heavy tasks may erode cost advantages — monitor token ratios carefully. Supersedes GPT-4o, which may be deprecated on a rolling basis.
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High-volume production workloads — chatbots, summarization pipelines, and document Q&A — where cost efficiency matters more than peak reasoning.
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The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
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$0.80/1M in
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Speed
Very fast
Best for high-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
Context
200k tokens
Output cost of $4/1M is notably higher than competing fast/mini models. Input cost at ~$0.80/1M is competitive. Best value emerges in input-heavy pipelines like document classification or RAG retrieval where output tokens are minimal.
High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
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
$30.00/1M in
$180.00/1M 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
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5.1-Codex-Mini — added to UseRightAI
OpenAI: GPT-5.1-Codex-Mini (OpenAI) is now indexed. It supersedes GPT-4o. The sharpest budget coding model available if you need speed, volume, and a long context window without breaking your API budget.
OpenAI: GPT-5.1-Codex-Mini is best for high-volume code generation, autocomplete pipelines, and developer tooling where cost efficiency matters more than peak reasoning depth.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
When should I avoid OpenAI: GPT-5.1-Codex-Mini?
You need deep mathematical reasoning, complex architecture design decisions, or multimodal inputs — use GPT-5.1 or Claude Sonnet 4.6 instead.
What is a cheaper alternative to OpenAI: GPT-5.1-Codex-Mini?
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-5.1-Codex-Mini?
OpenAI: GPT-5 Mini is the better pick when response time matters more than maximum depth or premium quality.
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