Model comparison

GPT-5.5 Instant vs Phi 3 Small 8k Instruct

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.5 Instant OpenAI

42.7

Rank #110 Confirmed

Phi 3 Small 8k Instruct Microsoft

29.3

Rank #314 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.5 Instant scores higher in 7 categories and Phi 3 Small 8k Instruct in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.5 Instant leads 61.8 to 31.1.
  • Phi 3 Small 8k Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Instant and Phi 3 Small 8k Instruct specifications
GPT-5.5 InstantPhi 3 Small 8k Instruct
ProviderOpenAIMicrosoft
Noometry Index42.729.3
Released2026-05-052024-04-23
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2732

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Category by category

Coding GPT-5.5 Instant leads

GPT-5.5 Instant: 44.3 (#74), Phi 3 Small 8k Instruct: 27.9 (#318)

Coding benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Coding14331101
SciCode48.6%—
LiveBench Coding—20.3%

Reasoning GPT-5.5 Instant leads

GPT-5.5 Instant: 24.9 (#155), Phi 3 Small 8k Instruct: 14.8 (#323)

Reasoning benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Hard Prompts14261100
CritPt0%—
Chess Puzzles12%—
LiveBench Reasoning—15.9%
LiveBench Data Analysis—30.3%
Adversarial NLI—58.1%
BIG-Bench Hard—79.1%
Epoch Capabilities Index142.52—
HellaSwag—77%
LiveBench—24%
WinoGrande—81.5%

Math Phi 3 Small 8k Instruct leads

GPT-5.5 Instant: 26.5 (#259), Phi 3 Small 8k Instruct: 27.6 (#248)

Math benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Math14201151
FrontierMath (Tiers 1-3)26.3%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202568.1%—
LiveBench Math—17.6%

Knowledge GPT-5.5 Instant leads

GPT-5.5 Instant: 48.9 (#74), Phi 3 Small 8k Instruct: 29.1 (#240)

Knowledge benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Expert14091067
GPQA Diamond82.5%—
ARC (AI2) Challenge—90.7%
MMLU—75.7%
OpenBookQA—88%
TriviaQA—58.1%

Multimodal Not comparable

GPT-5.5 Instant: 40.0 (#52), Phi 3 Small 8k Instruct: —

Multimodal benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Vision1250—
LMArena Document1403—

Multilingual GPT-5.5 Instant leads

GPT-5.5 Instant: 52.8 (#80), Phi 3 Small 8k Instruct: 28.5 (#272)

Multilingual benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Non-English14171058
LMArena Chinese14561061
LMArena French14281135
LMArena German14111080
LMArena Japanese1408966
LMArena Korean1392894
LMArena Russian14311111
LMArena Spanish14291111

Instruction Following GPT-5.5 Instant leads

GPT-5.5 Instant: 74.2 (#100), Phi 3 Small 8k Instruct: 51.9 (#292)

Instruction Following benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Instruction Following14061087
LiveBench Instruction Following—47.2%

Long Context GPT-5.5 Instant leads

GPT-5.5 Instant: 43.4 (#96), Phi 3 Small 8k Instruct: 33.0 (#267)

Long Context benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Longer Query14221088

Writing & Preference GPT-5.5 Instant leads

GPT-5.5 Instant: 61.8 (#85), Phi 3 Small 8k Instruct: 31.1 (#284)

Writing & Preference benchmarks
BenchmarkGPT-5.5 InstantPhi 3 Small 8k Instruct
LMArena Text14191110
LMArena Creative Writing14191083
LMArena Multi-Turn14331068
LiveBench Language—12.9%

Frequently asked questions

Is GPT-5.5 Instant better than Phi 3 Small 8k Instruct?

GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.3 on the Noometry Index.

Is GPT-5.5 Instant or Phi 3 Small 8k Instruct better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 27.9 in the Noometry coding category.

How many benchmarks do GPT-5.5 Instant and Phi 3 Small 8k Instruct share?

17 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Phi 3 Small 8k Instruct has 32.

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