Compare · ModelsLive · 2 picked · head to head
PaLM 2-M vs Mixtral 8x7B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Mixtral 8x7B Instruct wins on 4/5 benchmarks
Mixtral 8x7B Instruct wins 4 of 5 shared benchmarks. Leads in knowledge.
Category leads
knowledge·Mixtral 8x7B Instruct
Hype vs Reality
Attention vs performance
PaLM 2-M
#43 by perf·no signal
Mixtral 8x7B Instruct
#71 by perf·no signal
Best value
Mixtral 8x7B Instruct
PaLM 2-M
—
no price
Mixtral 8x7B Instruct
107.0 pts/$
$0.54/M
Vendor risk
Who is behind the model
U
Unknown
private · undisclosed
Mistral AI
$14.0B·Tier 1
Head to head
5 benchmarks · 2 models
PaLM 2-MMixtral 8x7B Instruct
ARC AI2
Mixtral 8x7B Instruct leads by +29.9
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
PaLM 2-M
53.2
Mixtral 8x7B Instruct
83.1
HellaSwag
Mixtral 8x7B Instruct leads by +3.6
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
PaLM 2-M
78.7
Mixtral 8x7B Instruct
82.3
OpenBookQA
Mixtral 8x7B Instruct leads by +37.9
OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting.
PaLM 2-M
43.2
Mixtral 8x7B Instruct
81.1
TriviaQA
Mixtral 8x7B Instruct leads by +0.5
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
PaLM 2-M
81.7
Mixtral 8x7B Instruct
82.2
Winogrande
PaLM 2-M leads by +4.0
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
PaLM 2-M
58.4
Mixtral 8x7B Instruct
54.4
Full benchmark table
| Benchmark | PaLM 2-M | Mixtral 8x7B Instruct |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 53.2 | 83.1 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 78.7 | 82.3 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 43.2 | 81.1 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 81.7 | 82.2 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 58.4 | 54.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
U PaLM 2-M | — | — | — | — |
| $0.54 | $0.54 | 33K tokens (~16 books) | $5.40 |
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