Compare · ModelsLive · 2 picked · head to head
Mistral 7B V0.1 vs Mixtral 8x7B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Mixtral 8x7B wins on 9/9 benchmarks
Mixtral 8x7B wins 9 of 9 shared benchmarks. Leads in knowledge · math.
Category leads
knowledge·Mixtral 8x7Bmath·Mixtral 8x7B
Hype vs Reality
Attention vs performance
Mistral 7B V0.1
#191 by perf·no signal
Mixtral 8x7B
#93 by perf·no signal
Vendor risk
Who is behind the model
Mistral AI
$24.0B·Tier 1
Mistral AI
$24.0B·Tier 1
Head to head
9 benchmarks · 2 models
Mistral 7B V0.1Mixtral 8x7B
ANLI
Mixtral 8x7B leads by +12.1
ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations.
Mistral 7B V0.1
20.6
Mixtral 8x7B
32.8
ARC AI2
Mixtral 8x7B leads by +11.6
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
Mistral 7B V0.1
71.5
Mixtral 8x7B
83.1
GSM8K
Mixtral 8x7B leads by +20.0
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
Mistral 7B V0.1
54.4
Mixtral 8x7B
74.4
HellaSwag
Mixtral 8x7B leads by +7.6
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
Mistral 7B V0.1
74.7
Mixtral 8x7B
82.3
MMLU
Mixtral 8x7B leads by +10.8
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Mistral 7B V0.1
50.0
Mixtral 8x7B
60.8
OpenBookQA
Mixtral 8x7B leads by +8.0
OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting.
Mistral 7B V0.1
73.1
Mixtral 8x7B
81.1
PIQA
Mixtral 8x7B leads by +1.2
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
Mistral 7B V0.1
66.0
Mixtral 8x7B
67.2
TriviaQA
Mixtral 8x7B leads by +7.0
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
Mistral 7B V0.1
75.2
Mixtral 8x7B
82.2
Winogrande
Mixtral 8x7B leads by +3.8
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
Mistral 7B V0.1
50.6
Mixtral 8x7B
54.4
Full benchmark table
| Benchmark | Mistral 7B V0.1 | Mixtral 8x7B |
|---|---|---|
ANLI ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations. | 20.6 | 32.8 |
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 71.5 | 83.1 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 54.4 | 74.4 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 74.7 | 82.3 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 50.0 | 60.8 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 73.1 | 81.1 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 66.0 | 67.2 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 75.2 | 82.2 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 50.6 | 54.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
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