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
Monthly cost estimate
See what OpenAI: GPT-5.1-Codex-Mini actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.250
Output cost
$1.00
Total / month
$1.25
Based on OpenAI: GPT-5.1-Codex-Mini API pricing: $0.25/1M input · $2/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
OpenAI: GPT-5.1-Codex-Mini pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 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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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.
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$0.25/1M in
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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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The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
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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.
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Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
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Pricing
$0.10/1M in
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Speed
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Context
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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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