Noometry

Model comparison

Amazon Nova Experimental Chat 26 02 10 vs Phi 3 Medium 4k Instruct

Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 43.8 to 32.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Amazon Nova Experimental Chat 26 02 10 Amazon

43.8

Rank #77 Confirmed

Phi 3 Medium 4k Instruct Microsoft

32.4

Rank #246 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 26 02 10 scores higher in 8 categories and Phi 3 Medium 4k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Amazon Nova Experimental Chat 26 02 10 leads 62.0 to 34.3.
  • Phi 3 Medium 4k Instruct has downloadable open weights; the other is API-only.

Side by side

Amazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
ProviderAmazonMicrosoft
Noometry Index43.832.4
Released——
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1217

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 43.2 (#81), Phi 3 Medium 4k Instruct: 32.3 (#263)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Coding14831130

Reasoning Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 28.9 (#84), Phi 3 Medium 4k Instruct: 20.8 (#214)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Hard Prompts14581127

Math Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 36.6 (#108), Phi 3 Medium 4k Instruct: 30.9 (#202)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Math14401173

Knowledge Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 41.6 (#98), Phi 3 Medium 4k Instruct: 29.6 (#226)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Expert15051108

Multilingual Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 54.3 (#48), Phi 3 Medium 4k Instruct: 30.8 (#258)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Non-English14351094
LMArena Chinese14651108
LMArena Russian14231145
LMArena French—1109
LMArena German—1101
LMArena Japanese—1042
LMArena Korean—954
LMArena Spanish—1095

Instruction Following Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 75.3 (#66), Phi 3 Medium 4k Instruct: 57.8 (#263)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Instruction Following14261114

Long Context Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 44.0 (#73), Phi 3 Medium 4k Instruct: 33.9 (#250)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Longer Query14411120

Writing & Preference Amazon Nova Experimental Chat 26 02 10 leads

Amazon Nova Experimental Chat 26 02 10: 62.0 (#80), Phi 3 Medium 4k Instruct: 34.3 (#267)

BenchmarkAmazon Nova Experimental Chat 26 02 10Phi 3 Medium 4k Instruct
LMArena Text14491138
LMArena Creative Writing13691106
LMArena Multi-Turn14421088

Frequently asked questions

Is Amazon Nova Experimental Chat 26 02 10 better than Phi 3 Medium 4k Instruct?

Amazon Nova Experimental Chat 26 02 10 is the stronger model overall, scoring 43.8 to 32.4 on the Noometry Index.

Is Amazon Nova Experimental Chat 26 02 10 or Phi 3 Medium 4k Instruct better for coding?

Amazon Nova Experimental Chat 26 02 10 scores higher on coding benchmarks: 43.2 versus 32.3 in the Noometry coding category.

How many benchmarks do Amazon Nova Experimental Chat 26 02 10 and Phi 3 Medium 4k Instruct share?

12 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 02 10 has 12 scored results on Noometry and Phi 3 Medium 4k Instruct has 17.

Related comparisons

Go deeper