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Phi-3 Mini 4K Instruct vs GPT-4 Turbo

Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.

Specs

Field A: Phi-3 Mini 4K Instruct B: GPT-4 Turbo
Released 2024-04-232024-04-09
Developer MicrosoftOpenAI
Openness OpenProprietary
License MITProprietary
OSI-approved yesno
Data released nono
Training code nono
Architecture denseunknown
Total params 3.8B
Active params
Experts
Context window 4K128K
Attention mhaunknown
Position enc. ropeunknown
Pretraining tokens 3.3T
Post-training sft, dporlhf
Training hardware H100
$/M input $10.00
$/M output $30.00
Output tok/sec 27.8

Benchmarks

Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.

General reasoning

MMLU 70.9 2024-04-23
MMLU-Pro 69.4 2026-05-21
GPQA-Diamond 30.6 2024-04-23

Code

HumanEval 57.3 2024-04-23
LiveCodeBench 29.1 2026-05-21

Math

MATH 73.7 2026-05-21
AIME 2024 15.0 2026-05-21

Context · A

Microsoft's first small-model release demonstrating that 3.8B parameters with heavy data filtering and synthetic data could reach MMLU 70%, matching much larger 2023-era models. A 128K-context variant shipped alongside via LongRoPE.

Context · B

Announced at OpenAI DevDay on November 6, 2023 as a 128K-context, cheaper successor to the original GPT-4 endpoint. The gpt-4-turbo-2024-04-09 revision shipped as the general-availability version with vision support and a knowledge cutoff through December 2023.

Phi-3 Mini 4K Instruct detail → · GPT-4 Turbo detail →