PriceIndex

Models, measured side by side

GPT-5.2 Pro vs Phi-4

Compare GPT-5.2 Pro, Phi-4 by token pricing, context length, benchmark results, speed and tool support.

Monthly workload

Monthly cost breakdown

InputOutput

GPT-5.2 Pro

$1,260 / mo

Phi-4

$2.10 / mo

Performance comparison

GPT-5.2 Pro

Not listed

Phi-4

5.9

Overview

Released
GPT-5.2 Pro
2025-12
Phi-4
2024-12
Status
GPT-5.2 Pro
Active
Phi-4
Active
Input formats
GPT-5.2 Pro
imagetextfile
Phi-4
text
Output formats
GPT-5.2 Pro
text
Phi-4
text

Pricing & capacity

Input / 1M tokens
GPT-5.2 Pro
$21
Phi-4
$0.07
Output / 1M tokens
GPT-5.2 Pro
$168
Phi-4
$0.14
Monthly cost
GPT-5.2 Pro
$1,260
Phi-4
$2.10
Context window
GPT-5.2 Pro
400K
Phi-4
16K
Maximum output
GPT-5.2 Pro
128K
Phi-4
15K

Benchmarks & performance

Arena Elo
GPT-5.2 Pro
1,255
Phi-4
1,123
MMLU-Pro
GPT-5.2 Pro
82.8%
Phi-4
60.7%
Intelligence Index
GPT-5.2 Pro
Not listed
Phi-4
5.9
GPQA
GPT-5.2 Pro
Not listed
Phi-4
57.5%
Humanity’s Last Exam
GPT-5.2 Pro
Not listed
Phi-4
3.8%
Output speed
GPT-5.2 Pro
Not listed
Phi-4
39 tokens/s
Time to first token
GPT-5.2 Pro
Not listed
Phi-4
2.59 s

Tools & features

Function calling
GPT-5.2 Pro
Supported
Phi-4
Not listed
Structured outputs
GPT-5.2 Pro
Supported
Phi-4
Supported
JSON mode
GPT-5.2 Pro
Supported
Phi-4
Supported
Reasoning
GPT-5.2 Pro
Supported
Phi-4
Not listed
Deterministic seed
GPT-5.2 Pro
Supported
Phi-4
Supported

API & availability

API identifier
GPT-5.2 Pro
gpt-5.2-pro
Phi-4
phi-4
API providers
GPT-5.2 Pro
OpenAI
Phi-4
DeepInfra
Knowledge cutoff
GPT-5.2 Pro
Not listed
Phi-4
2024-06-30
Prices checked
GPT-5.2 Pro
Oct 8, 2026
Phi-4
Oct 8, 2026

About the models

GPT-5.2 Pro

GPT-5.2 with extra compute for the most demanding problems. No cached-input discount.

Full pricing & details

Phi-4

14B small language model, great for edge and cheap tasks.

Full pricing & details

Comparison FAQ

GPT-5.2 Pro: $21 input and $168 output per million tokens. Phi-4: $0.07 input and $0.14 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.

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