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Model comparison

GPT-5.2 vs Phi-4

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
57.63/100
Margin
35.3pts
← winning
Microsoft
22.32/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.2 #70 (Estimated); Phi-4 #202 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2 and Phi-4 share 11 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to GPT-5.2; 0 to Phi-4.

Updated July 24, 2026
Shared results
11
GPT-5.2 only
17
Phi-4 only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.2 and Phi-4 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-5.2 is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Phi-4. GPT-5.2 has the larger context window at 400K, compared with 16K for Phi-4.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.2 and Phi-4
CategoryGPT-5.2ΔPhi-4
AgenticGPT-5.255.7MarginNo overlapPhi-4Not measured
CodingGPT-5.270.6MarginNo overlapPhi-4Not measured
ReasoningGPT-5.252.9MarginNo overlapPhi-4Not measured
KnowledgeGPT-5.292.4MarginNo overlapPhi-4Not measured
MathGPT-5.235.2MarginNo overlapPhi-4Not measured
MultimodalGPT-5.280.4MarginNo overlapPhi-4Not measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.2Phi-4Comparison
Input / output priceUSD per 1M tokensGPT-5.2$1.75 input / $14 outputPhi-4$0 input / $0 outputPhi-4 has the lower combined listed price.
Generation speedtokens per secondGPT-5.273 tok/sPhi-435 tok/sGPT-5.2 has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.2130.34 sPhi-42.02 sPhi-4 reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.2400KPhi-416KGPT-5.2 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2Phi-4Result
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
τ²-bench resultsSource 84.8%0%GPT-5.2 leads
Gert LabsSource 46.54%Not comparable
JobBenchSource 34.3%Not comparable
Coding
BenchmarkGPT-5.2Phi-4Result
SWE-bench VerifiedSource 80%Not comparable
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%Not comparable
AA-SciCodeSource 52.1%26.0%GPT-5.2 leads
Reasoning
BenchmarkGPT-5.2Phi-4Result
ARC-AGI-2Source 52.9%Not comparable
AA-LCRSource 72.7%0.0%GPT-5.2 leads
CritPtSource 11.6%0.0%GPT-5.2 leads
Knowledge
BenchmarkGPT-5.2Phi-4Result
GPQASource 92.4%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%4.9%GPT-5.2 leads
AA-GPQA DiamondSource 90.3%57.5%GPT-5.2 leads
AA-HLESource 35.4%4.1%GPT-5.2 leads
AA-Omniscience IndexSource -1.0%-56.7%GPT-5.2 leads
AA-Omniscience AccuracySource 43.8%13.2%GPT-5.2 leads
AA-Omniscience Hallucination RateSource 79.7%80.5%GPT-5.2 leads
Math
BenchmarkGPT-5.2Phi-4Result
AA AIME 2025Source 99.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 18.800%Not comparable
Multimodal
BenchmarkGPT-5.2Phi-4Result
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Design Arena WebsiteSource 1224Not comparable
Inst. Following
BenchmarkGPT-5.2Phi-4Result
AA-IFBenchSource 75.4%23.5%GPT-5.2 leads
Frequently Asked Questions (3)

Can I compare GPT-5.2 and Phi-4 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-5.2 and Phi-4 today?

GPT-5.2: $1.75 input / $14.00 output per 1M tokens Phi-4: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026