Compare · ModelsLive · 2 picked · head to head
GPT-3.5 Turbo (older v0613) vs phi-3-small 7.4B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
phi-3-small 7.4B wins on 4/7 benchmarks
phi-3-small 7.4B wins 4 of 7 shared benchmarks. Leads in reasoning.
Category leads
knowledge·GPT-3.5 Turbo (older v0613)reasoning·phi-3-small 7.4B
Hype vs Reality
Attention vs performance
GPT-3.5 Turbo (older v0613)
#109 by perf·no signal
phi-3-small 7.4B
#23 by perf·no signal
Best value
GPT-3.5 Turbo (older v0613)
GPT-3.5 Turbo (older v0613)
30.5 pts/$
$1.50/M
phi-3-small 7.4B
—
no price
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Microsoft
$3.00T·Big Tech
Head to head
7 benchmarks · 2 models
GPT-3.5 Turbo (older v0613)phi-3-small 7.4B
ANLI
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-small 7.4B
37.1
ARC AI2
phi-3-small 7.4B leads by +4.4
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-small 7.4B
87.6
BBH
phi-3-small 7.4B leads by +23.3
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-small 7.4B
72.1
MMLU
phi-3-small 7.4B leads by +11.2
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-small 7.4B
67.6
OpenBookQA
phi-3-small 7.4B leads by +2.7
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-small 7.4B
84.0
TriviaQA
GPT-3.5 Turbo (older v0613) leads by +27.7
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-small 7.4B
58.1
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-small 7.4B
63.0
Full benchmark table
| Benchmark | GPT-3.5 Turbo (older v0613) | phi-3-small 7.4B |
|---|---|---|
ANLI ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations. | 37.1 | 37.1 |
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 83.2 | 87.6 |
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 | 72.1 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 56.4 | 67.6 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 81.3 | 84.0 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 85.8 | 58.1 |
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 |
|---|---|---|---|---|
| GPT-3.5 Turbo (older v0613) | $1.00 | $2.00 | 4K tokens (~2 books) | $12.50 |
| phi-3-small 7.4B | — | — | — | — |
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