Model comparison

Phi-4 vs Solar Pro4

Solar Pro4 is the stronger model overall, scoring 41.5 to 30.9 on the Noometry Index. Phi-4 costs 6.0× less per token, which makes it the better buy when Solar Pro4's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Phi-4 Microsoft

30.9

Rank #269 Confirmed

Solar Pro4 Upstage

41.5

Rank #123 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Phi-4 scores higher in 0 categories and Solar Pro4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Solar Pro4 leads 36.1 to 19.6.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
  • Solar Pro4 accepts more context: 524K tokens versus 128K.
  • Phi-4 has downloadable open weights; the other is API-only.

Side by side

Phi-4 and Solar Pro4 specifications
Phi-4Solar Pro4
ProviderMicrosoftUpstage
Noometry Index30.941.5
Released2024-12-112026-08-06
WeightsOpenProprietary
Context window128K524K
Max output4K131K
Input $ / M tokens$0.07$0.30
Output $ / M tokens$0.14$1.20
Results tracked3718

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Category by category

Coding Solar Pro4 leads

Phi-4: 33.8 (#237), Solar Pro4: 39.9 (#135)

Coding benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Coding12311439
LMArena WebDev—1371
BigCodeBench Instruct45.5%—
LiveBench Coding30.7%—
BigCodeBench Complete55.4%—

Agentic & Tool Use Not comparable

Phi-4: 22.6 (#120), Solar Pro4: —

Agentic & Tool Use benchmarks
BenchmarkPhi-4Solar Pro4
Berkeley Function Calling Leaderboard28.8%—
BALROG11.6%—

Reasoning Solar Pro4 leads

Phi-4: 17.0 (#287), Solar Pro4: 27.3 (#107)

Reasoning benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Hard Prompts12201398
Chess Puzzles1%—
LiveBench Reasoning47.8%—
LiveBench Data Analysis45.2%—
Epoch Capabilities Index130.43—
LiveBench41.6%—

Math Solar Pro4 leads

Phi-4: 19.6 (#279), Solar Pro4: 36.1 (#129)

Math benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Math12461418
OTIS Mock AIME 2024-202513.8%—
LiveBench Math42%—
MATH Level 564.9%—

Knowledge Solar Pro4 leads

Phi-4: 32.5 (#204), Solar Pro4: 39.0 (#128)

Knowledge benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Expert12031421
GPQA Diamond56.1%—
Confabulations29.4%—
Vectara Hallucination Rate3.7%—
MMLU84.8%—

Multilingual Solar Pro4 leads

Phi-4: 37.4 (#232), Solar Pro4: 49.0 (#134)

Multilingual benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Non-English11971362
LMArena Chinese12111417
LMArena French12231403
LMArena German12221351
LMArena Japanese11581300
LMArena Korean11511383
LMArena Russian12091360
LMArena Spanish12341408

Instruction Following Solar Pro4 leads

Phi-4: 60.6 (#246), Solar Pro4: 72.8 (#128)

Instruction Following benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Instruction Following12011376
LiveBench Instruction Following58.4%—

Long Context Solar Pro4 leads

Phi-4: 36.9 (#221), Solar Pro4: 42.0 (#125)

Long Context benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Longer Query12171379

Writing & Preference Solar Pro4 leads

Phi-4: 40.7 (#239), Solar Pro4: 56.7 (#133)

Writing & Preference benchmarks
BenchmarkPhi-4Solar Pro4
LMArena Text12171386
LMArena Creative Writing11821313
LMArena Multi-Turn12061391
Short-Story Creative Writing62.6%—
LiveBench Language25.6%—

Frequently asked questions

Is Phi-4 better than Solar Pro4?

Solar Pro4 is the stronger model overall, scoring 41.5 to 30.9 on the Noometry Index. Phi-4 costs 6.0× less per token, which makes it the better buy when Solar Pro4's lead doesn't matter for your workload.

Which is cheaper, Phi-4 or Solar Pro4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

Is Phi-4 or Solar Pro4 better for coding?

Solar Pro4 scores higher on coding benchmarks: 39.9 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 128K.

How many benchmarks do Phi-4 and Solar Pro4 share?

17 benchmarks have published results for both models. Phi-4 has 37 scored results on Noometry and Solar Pro4 has 18.

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