Compare · ModelsLive · 2 picked · head to head
GPT-3.5 Turbo (older v0613) vs phi-3-medium 14B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
phi-3-medium 14B wins on 6/9 benchmarks
phi-3-medium 14B wins 6 of 9 shared benchmarks. Leads in knowledge · reasoning · math.
Category leads
knowledge·phi-3-medium 14Breasoning·phi-3-medium 14Bmath·phi-3-medium 14B
Hype vs Reality
Attention vs performance
GPT-3.5 Turbo (older v0613)
#235 by perf·no signal
phi-3-medium 14B
#54 by perf·#20 by attention
Best value
GPT-3.5 Turbo (older v0613)
GPT-3.5 Turbo (older v0613)
21.9 pts/$
$1.50/M
phi-3-medium 14B
n/a
no price
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Microsoft
$3.84T·Big Tech
Head to head
9 benchmarks · 2 models
GPT-3.5 Turbo (older v0613)phi-3-medium 14B
ANLI
GPT-3.5 Turbo (older v0613) leads by +3.4
ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations.
GPT-3.5 Turbo (older v0613)
37.1
phi-3-medium 14B
33.7
ARC AI2
phi-3-medium 14B leads by +5.6
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
GPT-3.5 Turbo (older v0613)
83.2
phi-3-medium 14B
88.8
BBH
phi-3-medium 14B leads by +26.4
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
GPT-3.5 Turbo (older v0613)
48.8
phi-3-medium 14B
75.2
GPQA diamond
phi-3-medium 14B leads by +0.6
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-3.5 Turbo (older v0613)
2.9
phi-3-medium 14B
3.5
MATH level 5
phi-3-medium 14B leads by +5.9
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
GPT-3.5 Turbo (older v0613)
11.6
phi-3-medium 14B
17.6
MMLU
phi-3-medium 14B leads by +14.3
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-3.5 Turbo (older v0613)
56.4
phi-3-medium 14B
70.7
OpenBookQA
phi-3-medium 14B leads by +1.9
OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting.
GPT-3.5 Turbo (older v0613)
81.3
phi-3-medium 14B
83.2
TriviaQA
GPT-3.5 Turbo (older v0613) leads by +11.9
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
GPT-3.5 Turbo (older v0613)
85.8
phi-3-medium 14B
73.9
Winogrande
GPT-3.5 Turbo (older v0613) leads by +0.2
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
GPT-3.5 Turbo (older v0613)
63.2
phi-3-medium 14B
63.0
Full benchmark table
| Benchmark | GPT-3.5 Turbo (older v0613) | phi-3-medium 14B |
|---|---|---|
ANLI ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations. | 37.1 | 33.7 |
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 83.2 | 88.8 |
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 48.8 | 75.2 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 2.9 | 3.5 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 11.6 | 17.6 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 56.4 | 70.7 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 81.3 | 83.2 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 85.8 | 73.9 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 63.2 | 63.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.00 | $2.00 | 4K tokens (~2 books) | $12.50 | |
| — | — | — | — |
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