Claude 3.5 Sonnet vs Grok-2: Benchmark Comparison
Detailed comparison of Claude 3.5 Sonnet and Grok-2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Claude 3.5 Sonnet | Grok-2 |
|---|---|---|
| Vendor | anthropic | xai |
| Version | 3.5-sonnet | 2 |
| Release Date | 2024-06-20 | 2024-08-13 |
| Context Window | 200000 tokens | 131072 tokens |
| Input Modalities | text, image | text, image |
| Output Modalities | text | text |
| License | Proprietary | Proprietary |
| SOC2 | ✓ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✓ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | Claude 3.5 Sonnet | Grok-2 | Winner |
|---|---|---|---|
| BBH | 84.5 | 84 | Claude 3.5 Sonnet |
| GSM8K | 96.4 | 93.2 | Claude 3.5 Sonnet |
| HUMANEVAL | 92 | 88.4 | Claude 3.5 Sonnet |
| MATH | 71.1 | 76.8 | Grok-2 |
| MMLU | 88.7 | 87.5 | Claude 3.5 Sonnet |
Pricing Comparison
| Tier (per Mtok) | Claude 3.5 Sonnet | Grok-2 |
|---|---|---|
| Input | $3 | $2 |
| Output | $15 | $10 |
| Cache Read | $0.3 | $0 |
| Cache Write | $3.75 | $0 |
Claude 3.5 Sonnet kontra Grok-2
Przegląd modelu
Claude 3.5 Sonnet and Grok-2 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Kluczowe specyfikacje
| Dostawca | Data wydania | Okno kontekstowe | Licencja |
|---|---|---|---|
| Anthropic / Xai | 2024-06-20 / 2024-08-13 | 200K / 131K | Proprietary / Proprietary |
Wydajność benchmarków
| Benchmark | Claude 3.5 Sonnet | Grok-2 | Zwycięzca |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 84.5 | 84.0 | A |
| GSM8K (Grade School Math 8K) | 96.4 | 93.2 | A |
| HumanEval | 92.0 | 88.4 | A |
| MATH | 71.1 | 76.8 | B |
| MMLU (Massive Multitask Language Understanding) | 88.7 | 87.5 | A |
Porównanie cen
| Wejście | Wyjście | Odczyt pamięci podręcznej | Zapis pamięci podręcznej |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
za milion tokenów — A / B
Mocne strony & Słabe strony
Claude 3.5 Sonnet
- ✅ MMLU score 88.7, strong knowledge reasoning.
- ✅ HumanEval 92.0, excellent code generation.
- ✅ GSM8K 96.4, robust math reasoning.
- ✅ 上下文窗口 200K，支持长文本。
- ⚠️ 闭源专有模型，不支持自托管。
Grok-2
- ✅ MMLU score 87.5, strong knowledge reasoning.
- ✅ HumanEval 88.4, excellent code generation.
- ✅ GSM8K 93.2, robust math reasoning.
- ✅ 支持文本、图像、音频多模态输入。
- ⚠️ 闭源专有模型，不支持自托管。
Opinia redakcji
Claude 3.5 Sonnet and Grok-2 each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
FAQ
Which model is better for coding tasks?
Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.
Which model is cheaper?
Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.
Which has a longer context window?
Refer to the key specifications table; the model with a larger context window is better for long documents.
Referencje
Editor's Take
See Editor's Take section.