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HomeModelsOpenAI: GPT-5.1-Codex-Mini
OpenAIBudget

OpenAI: GPT-5.1-Codex-Mini

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 Mar 2026
Context
400k tokens
Speed
Very fast
How to access
API
$0.25/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Opus 4.6
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
OpenAI: GPT-5 Mini

Strengths

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

$0.270$0.260$0.250$0.240$0.230Mar 27Mar 28

2 data points · tracked daily since Mar 27, 2026

Ready to try it?

Start using OpenAI: GPT-5.1-Codex-Mini

High-volume code generation, autocomplete pipelines, and developer tooling where cost efficiency matters more than peak reasoning depth.. Start free — no card required.

Try OpenAI: GPT-5.1-Codex-Mini 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.

OpenAIBudget

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.
BudgetFastLong ContextHigh VolumeOpenAI
Best for
High-volume production workloads — chatbots, summarization pipelines, and document Q&A — where cost efficiency matters more than peak reasoning.
View model
AnthropicBalanced

Anthropic: Claude 3.5 Haiku

Claude 3.5 Haiku is Anthropic's fastest and most affordable model in the Claude 3.5 family, designed for high-throughput tasks requiring quick responses without sacrificing Claude's core instruction-following quality. It handles a massive 200K context window while maintaining speed suitable for production pipelines.

Verdict
The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
Quality score
64%
Pricing
$0.80/1M in
$4.00/1M out
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.
FastLong ContextBudget-FriendlyClaude FamilyAgentic
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.
View model
GoogleBudget

Google: Gemini 2.0 Flash

Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.

Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
76%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
Best for high-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Context
1.0M tokens
Pricing listed is for standard (non-cached) input/output. Context caching is available and can reduce costs significantly for repeated long-context calls. Image and audio inputs are priced separately. Free tier available via Google AI Studio.
BudgetFastLong ContextMultimodalGoogle
Best for
High-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
View model

Change history

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.

View model

FAQ

What is OpenAI: GPT-5.1-Codex-Mini best for?

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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