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gpt-5.5-2026-04-23

Azure · chat model

gpt-5.5-2026-04-23 is listed here as a chat model from Azure. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$5.0000 / 1M tokens
Output
$30.0000 / 1M tokens
Cached input
$0.5000 / 1M tokens
Context
128.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. 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.

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
$5.0000 / 1M tokens
Output
$30.0000 / 1M tokens
Cached input
$0.5000 / 1M tokens
Embedding
$5.0000 / 1M tokens
Priority input
$10.0000 / 1M tokens
Priority output
$60.0000 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
1.1M
Max output tokens
128.0K
Max tokens
128.0K

Capabilities

Capability Supported
Vision ✅
Function calling ✅
Parallel function calling ✅
Tool choice ✅
Prompt caching ✅
Reasoning ✅
Response schema ✅
System messages ✅
Audio input —
Audio output —
Web search ✅
PDF input ✅
Video input —

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
LiveBench 80.71 LiveBench score Base model: GPT-5.5 (GPT-5.5 Thinking xHigh Effort) 2026-05-31 Link
LMArena Text Arena (English) 1487±7 Arena Elo Base model: GPT-5.5 (gpt-5.5-high) 2026-05-31 Link
GPQA Diamond 93.5% accuracy Base model: GPT-5.5 (GPT-5.5 (xhigh)) 2026-05-31 Link
GPQA Diamond 93.2% accuracy Base model: GPT-5.5 (GPT-5.5 (high)) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
gpt-5.5-2026-04-23
Azure
In $5.0000 / 1M tokens
Out $30.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
gpt-5.5
Azure
In $5.0000 / 1M tokens
Out $30.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 76%
gpt-5.5
OpenAI
In $5.0000 / 1M tokens
Out $30.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 76%
gpt-5.5-2026-04-23
OpenAI
In $5.0000 / 1M tokens
Out $30.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 76%
gpt-5.4
azure_ai
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 66%
gpt-5.4-2026-03-05
azure_ai
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 66%
us.anthropic.claude-opus-4-6-v1
bedrock_converse
In $5.5000 / 1M tokens
Out $27.5000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Partial I/O overlap
Overall 65%
eu.anthropic.claude-opus-4-6-v1
bedrock_converse
In $5.5000 / 1M tokens
Out $27.5000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Partial I/O overlap
Overall 65%
au.anthropic.claude-opus-4-6-v1
bedrock_converse
In $5.5000 / 1M tokens
Out $27.5000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Partial I/O overlap
Overall 65%
gpt-5.2
OpenAI
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 64%
gpt-5.4
Azure
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 64%
gpt-5.4-2026-03-05
Azure
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 64%
gpt-5-2025-08-07
Azure
In $1.3750 / 1M tokens
Out $11.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 60%
gpt-5-2025-08-07
Azure
In $1.3750 / 1M tokens
Out $11.0000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 60%
gpt-5.1-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 59%
gpt-5.4-mini
Azure
In $0.7500 / 1M tokens
Out $4.5000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 59%
gpt-5.4-mini-2026-03-17
Azure
In $0.7500 / 1M tokens
Out $4.5000 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 59%
gpt-5.4-nano
Azure
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 57%
gpt-5.4-nano-2026-03-17
Azure
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
pdf
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 57%