Compare · ModelsLive · 2 picked · head to head
LLaMA-13B vs Baichuan 2-7B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
LLaMA-13B wins on 4/7 benchmarks
LLaMA-13B wins 4 of 7 shared benchmarks. Leads in knowledge.
Category leads
knowledge·LLaMA-13Breasoning·Baichuan 2-7Bmath·Baichuan 2-7B
Hype vs Reality
Attention vs performance
LLaMA-13B
#170 by perf·no signal
Baichuan 2-7B
#142 by perf·no signal
Vendor risk
Who is behind the model
Meta AI
$1.50T·Tier 1
U
Unknown
private · undisclosed
Head to head
7 benchmarks · 2 models
LLaMA-13BBaichuan 2-7B
ARC AI2
LLaMA-13B leads by +26.9
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
LLaMA-13B
36.9
Baichuan 2-7B
10.0
BBH
Baichuan 2-7B leads by +4.9
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
LLaMA-13B
17.2
Baichuan 2-7B
22.1
GSM8K
Baichuan 2-7B leads by +4.1
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
LLaMA-13B
20.6
Baichuan 2-7B
24.6
HellaSwag
LLaMA-13B leads by +14.9
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
LLaMA-13B
72.3
Baichuan 2-7B
57.3
LAMBADA
LLaMA-13B leads by +1.9
LAMBADA · measures the ability to predict the final word of a passage, requiring broad contextual understanding across long text spans.
LLaMA-13B
75.2
Baichuan 2-7B
73.3
MMLU
Baichuan 2-7B leads by +8.6
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
LLaMA-13B
30.3
Baichuan 2-7B
38.9
PIQA
LLaMA-13B leads by +4.0
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
LLaMA-13B
60.2
Baichuan 2-7B
56.2
Full benchmark table
| Benchmark | LLaMA-13B | Baichuan 2-7B |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 36.9 | 10.0 |
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 17.2 | 22.1 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 20.6 | 24.6 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 72.3 | 57.3 |
LAMBADA LAMBADA · measures the ability to predict the final word of a passage, requiring broad contextual understanding across long text spans. | 75.2 | 73.3 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 30.3 | 38.9 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 60.2 | 56.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
U Baichuan 2-7B | — | — | — | — |