Compare · ModelsLive · 2 picked · head to head
phi-3-medium 14B vs Mixtral 8x7B Instruct
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 · math.
Category leads
knowledge·phi-3-medium 14Bmath·phi-3-medium 14B
Hype vs Reality
Attention vs performance
phi-3-medium 14B
#46 by perf·no signal
Mixtral 8x7B Instruct
#52 by perf·no signal
Best value
Mixtral 8x7B Instruct
phi-3-medium 14B
—
no price
Mixtral 8x7B Instruct
107.0 pts/$
$0.54/M
Vendor risk
Who is behind the model
Microsoft
$3.00T·Big Tech
Mistral AI
$14.0B·Tier 1
Head to head
9 benchmarks · 2 models
phi-3-medium 14BMixtral 8x7B Instruct
ANLI
phi-3-medium 14B leads by +0.9
ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations.
phi-3-medium 14B
33.7
Mixtral 8x7B Instruct
32.8
ARC AI2
phi-3-medium 14B leads by +5.7
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
phi-3-medium 14B
88.8
Mixtral 8x7B Instruct
83.1
GPQA diamond
Mixtral 8x7B Instruct leads by +4.0
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
phi-3-medium 14B
3.5
Mixtral 8x7B Instruct
7.5
HellaSwag
Mixtral 8x7B Instruct leads by +5.7
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
phi-3-medium 14B
76.5
Mixtral 8x7B Instruct
82.3
MATH level 5
phi-3-medium 14B leads by +7.6
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
phi-3-medium 14B
17.6
Mixtral 8x7B Instruct
9.9
MMLU
phi-3-medium 14B leads by +9.9
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
phi-3-medium 14B
70.7
Mixtral 8x7B Instruct
60.8
OpenBookQA
phi-3-medium 14B leads by +2.1
OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting.
phi-3-medium 14B
83.2
Mixtral 8x7B Instruct
81.1
TriviaQA
Mixtral 8x7B Instruct leads by +8.3
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
phi-3-medium 14B
73.9
Mixtral 8x7B Instruct
82.2
Winogrande
phi-3-medium 14B leads by +8.6
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
phi-3-medium 14B
63.0
Mixtral 8x7B Instruct
54.4
Full benchmark table
| Benchmark | phi-3-medium 14B | Mixtral 8x7B Instruct |
|---|---|---|
ANLI ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations. | 33.7 | 32.8 |
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 88.8 | 83.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 3.5 | 7.5 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 76.5 | 82.3 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 17.6 | 9.9 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 70.7 | 60.8 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 83.2 | 81.1 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 73.9 | 82.2 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 63.0 | 54.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| phi-3-medium 14B | — | — | — | — |
| Mixtral 8x7B Instruct | $0.54 | $0.54 | 33K tokens (~16 books) | $5.40 |
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