GPT-5.1-Codex-Mini

by OpenAIopenai/gpt-5.1-codex-mini

  • Text
  • No route yet
  • Released

LLMCompare cannot run GPT-5.1-Codex-Mini yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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GPT-5.1-Codex-Mini at a glance

Context length
400,000 tokens
Maximum output
128,000 tokens
Accepts
Text, Image
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
highmediumlowReasoning is always on for this model.
Released
13 Nov 2025
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

GPT-5.1-Codex-Mini pricing by route

A route is the service LLMCompare calls to reach the model. GPT-5.1-Codex-Mini has 1 route. Prices are in US dollars.

Prices of GPT-5.1-Codex-Mini on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.25$2.00$0.03openrouter.ai/openai/gpt-5.1-codex-mini

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to GPT-5.1-Codex-Mini costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.0013
2 credits
Cost of 100 calls
$0.125
200 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of GPT-5.1-Codex-Mini
ParameterTypeRange or optionsDefault
max_tokensInteger1 to 128,000Provider default
reasoning_effortOne ofhighmediumlowmedium
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

Description as published for this model. LLMCompare has not edited it.

Models to compare with GPT-5.1-Codex-Mini

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with GPT-5.1-Codex-Mini
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
GPT-5 MiniOpenAIopenai/gpt-5-mini400k128k$0.25$2.00ReasoningJSONToolsCacheVisionNo route yet
GPT-4.1 MiniOpenAIopenai/gpt-4.1-mini1.05M32.8k$0.40$1.60JSONToolsCacheVisionNo route yet
GPT-3.5 TurboOpenAIopenai/gpt-3.5-turbo16.4k4.1k$0.50$1.50JSONToolsNo route yet
Qwen3.6 27BQwenqwen/qwen3.6-27b262k65.5k$0.25$2.00JSONToolsCacheVisionNo route yet
Seed-2.0-LiteByteDance Seedbytedance-seed/seed-2.0-lite262k131k$0.25$2.00ReasoningJSONToolsVisionNo route yet
Qwen3.6 PlusQwenqwen/qwen3.6-plus1M65.5k$0.325$1.95JSONToolsVisionNo route yet

Questions about GPT-5.1-Codex-Mini

How much does GPT-5.1-Codex-Mini cost?
On the OpenRouter route, GPT-5.1-Codex-Mini costs $0.25 per 1 million input tokens and $2.00 per 1 million output tokens, in US dollars. Input tokens that GPT-5.1-Codex-Mini reads from the prompt cache cost $0.03 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini has a context length of 400,000 tokens and returns up to 128,000 output tokens in one call.
What inputs does GPT-5.1-Codex-Mini accept?
GPT-5.1-Codex-Mini accepts these inputs: Text, Image. GPT-5.1-Codex-Mini returns: Text.
Which reasoning effort levels does GPT-5.1-Codex-Mini support?
GPT-5.1-Codex-Mini supports these reasoning effort levels: high, medium, low. Reasoning is always on for GPT-5.1-Codex-Mini and cannot be turned off.
Can I test GPT-5.1-Codex-Mini on my own data?
Not yet. LLMCompare lists the prices and parameters of GPT-5.1-Codex-Mini, but no route to GPT-5.1-Codex-Mini is configured on LLMCompare, so it cannot be selected for an evaluation.