A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.
140180
GPT-5.5 Pro
GPT-5.5 Pro · 95% interval 160.0–166.6
Model performance
Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.
GPT-5.5 Pro
Radar task score
/ 100
1/4 core tests · not enough evidence
2 benchmark results for this configuration
Scientific reasoning
GPQA Diamond · 25%
Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.
050100%
GPT-5.5 ProNot available
Novel problem solving
Mystery Game Puzzles · 25%
Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.
050100%
GPT-5.5 ProNot available
Advanced mathematics
FrontierMath Tiers 1-3 · 25%
Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.
050100%
GPT-5.5 Pro87.7*%Approx. 95% interval: 83.9–91.5%
Factual answers
SimpleQA Verified · 25%
Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.
050100%
GPT-5.5 ProNot available
Research mathematics
FrontierMath Tier 4 v2 · Separate result
The hardest private FrontierMath problems, corrected v2 set, with Python tools. Separate from Tiers 1-3 in the core score.
050100%
GPT-5.5 Pro78.0*%Approx. 95% interval: 65.2–90.9%
Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.
Run it locally
Inference · memory estimate
GPT-5.5 Pro
Closed weights. No supported local deployment or GPU requirement is published.
API cost
USD / month
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.
GPT-5.5 Pro
Capabilities
Context window
1,050,000 tokens
Maximum input
1,050,000 tokens*
Maximum output
128,000 tokens
Reasoning
Yes
Tool calling
Yes
Structured output
No*
Open weights
No
Knowledge cutoff
2025-12-01
API mode
Responses API*
Image input
Yes*
PDF input
Yes*
Parallel tool calls
Yes*
Prompt caching
Yes*
System messages
Yes*
Tool choice
Yes*
Web search
Yes*
Input modalities
text
image
pdf
Output modalities
text
System configuration
Detailed specifications
Specifications · 37 fields
input cost per token
3.0e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token above 272k tokens
6.0e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token above 272k tokens batches
3.0e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
1.5e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token flex
1.5e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
openai*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
1,050,000*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
128,000*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
128,000*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
responses*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
0.00018*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token above 272k tokens
0.00027*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token above 272k tokens batches
0.000135*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token batches
9.0e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token flex
9.0e-5*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
regional processing uplift multiplier eu
1.1*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
regional processing uplift multiplier us
1.1*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
search context cost per query
search_context_size_high
0.01*
search_context_size_low
0.01*
search_context_size_medium
0.01*
Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported endpoints
/v1/responses*
/v1/batch*
Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported modalities
text*
image*
Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported output modalities
text*
Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports low reasoning effort
No*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports minimal reasoning effort
No*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports native streaming
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports none reasoning effort
No*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports parallel function calling
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports pdf input
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
No*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports system messages
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool search
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports web search
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports xhigh reasoning effort
Yes*Scope and conditions
native_context
provider
openai*
mode
responses*
full_native_model_id
gpt-5.5-pro*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*