LLM Pricing

gpt-5.1-codex-max

OpenAI · Responses model

gpt-5.1-codex-max is listed here as a responses model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

openai-gpt-5-1-codex-max

Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
$0.1250 / 1M tokens
Context window
128.0K

Catalog generated: Aug 10, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
$0.1250 / 1M tokens
Cache write
$1.2500 / 1M tokens
Embedding
$1.2500 / 1M tokens

Limits

Context window
128.0K
Max input tokens
272.0K
Max output tokens
128.0K
Max tokens
128.0K
Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability Supported
Vision Supported
Function calling Supported
Parallel function calling Supported
Tool choice Supported
Prompt caching Supported
Reasoning Supported
Response schema Supported
System messages -
Audio input -
Audio output -
Web search Supported
PDF input Supported
Video input -
Native streaming Supported
Computer use -
Assistant prefill -
Structured output -
Output config -
URL context -

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
SWE-bench Verified 76.3% accuracy (%) Base model: gpt-5.1 (GPT-5.1 (high)) 2026-05-31 Link
GPQA Diamond 88.1% accuracy (%) Base model: gpt-5.1 (GPT-5.1 (high)) 2026-05-31 Link
Tau 2-bench Telecom 95.6% accuracy (%) Base model: gpt-5.1 (GPT-5.1 (high)) 2026-05-31 Link

Similar models

Candidates below have the same known input/output modality shape and usable token pricing. Use the filters to change the ranking lens before opening a comparison.

Comparing from
Model Cost Input shape Features Context Why it is close
gpt-5.1-codex-max
OpenAI
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Current model
Reference row

Overall blends cost, exact modality shape, capabilities, and context.

Model Cost Input shape Features Context Why it is close
gpt-5-codex
OpenAI
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 76%
gpt-5.1-codex
OpenAI
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 76%
gpt-5.1-codex
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Exact I/O shape
Overall 73%
gpt-5.1-codex-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Exact I/O shape
Overall 73%
gpt-5.1-codex
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Exact I/O shape
Overall 73%
gpt-5.1-codex-max
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Exact I/O shape
Overall 73%
gpt-5-codex
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Exact I/O shape
Overall 71%
gpt-5.2-codex
OpenAI
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 70%
gpt-5.3-codex
OpenAI
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 70%
o4-mini-deep-research
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
100.0K
Same provider
Overall 62%

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Sources

Source links
Pricing dataLiteLLM model cost map
Synced at2026-05-28
Catalog generated2026-08-10T21:27:29.020Z