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Model comparison

o1-pro vs Phi-4

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
45.94/100
Margin
23.2pts
← winning
Microsoft
22.69/100
0 category wins0 category wins

Public leaderboard positions: o1-pro #141 (Estimated); Phi-4 #192 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1-pro and Phi-4 share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to o1-pro; 10 to Phi-4.

Updated July 24, 2026
Shared results
1
o1-pro only
1
Phi-4 only
10
Comparable categories
0 / 8

Benchmark data for o1-pro and Phi-4 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Phi-4. o1-pro has the larger context window at 200K, 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 o1-pro and Phi-4
Categoryo1-proΔPhi-4
Knowledgeo1-pro79.0MarginNo overlapPhi-4Not measured

Operational comparison

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

Metrico1-proPhi-4Comparison
Input / output priceUSD per 1M tokenso1-pro$150 input / $600 outputPhi-4$0 input / $0 outputPhi-4 has the lower combined listed price.
Generation speedtokens per secondo1-proNot availablePhi-435 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokeno1-proNot availablePhi-42.02 sA complete latency comparison is not available.
Context windowmaximum listed tokenso1-pro200KPhi-416Ko1-pro lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1-proPhi-4Result
τ²-bench resultsSource 0%Not comparable
Coding
Benchmarko1-proPhi-4Result
AA-SciCodeSource 26.0%Not comparable
Reasoning
Benchmarko1-proPhi-4Result
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
Benchmarko1-proPhi-4Result
GPQASource 79%Not comparable
Artificial Analysis Intelligence IndexSource 18.9%4.9%o1-pro leads
AA-GPQA DiamondSource 57.5%Not comparable
AA-HLESource 4.1%Not comparable
AA-Omniscience IndexSource -56.7%Not comparable
AA-Omniscience AccuracySource 13.2%Not comparable
AA-Omniscience Hallucination RateSource 80.5%Not comparable
Inst. Following
Benchmarko1-proPhi-4Result
AA-IFBenchSource 23.5%Not comparable
Frequently Asked Questions (3)

Can I compare o1-pro 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 o1-pro and Phi-4 today?

o1-pro: $150.00 input / $600.00 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.

Related Comparisons

Last updated: July 24, 2026

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