DBRX Instruct vs Mixtral 8x22B: Benchmark Comparison
Detailed comparison of DBRX Instruct and Mixtral 8x22B covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | DBRX Instruct | Mixtral 8x22B |
|---|---|---|
| Vendor | other | mistral |
| Version | dbrx-instruct | 8x22b |
| Release Date | 2024-03-27 | 2024-04-10 |
| Context Window | 32768 tokens | 64000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | DBRX Open Model License | Apache 2.0 |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | DBRX Instruct | Mixtral 8x22B | Winner |
|---|---|---|---|
| ARC | 93.9 | — | DBRX Instruct |
| BBH | 71.7 | 74.5 | Mixtral 8x22B |
| GPQA | 34.7 | — | DBRX Instruct |
| GSM8K | 78.7 | 78.6 | DBRX Instruct |
| HUMANEVAL | 72.8 | 45.2 | DBRX Instruct |
| IFEVAL | 73.1 | — | DBRX Instruct |
| MATH | 50.1 | 46 | DBRX Instruct |
| MMLU | 81.3 | 77.8 | DBRX Instruct |
| MUSR | 54.7 | — | DBRX Instruct |
| WINOGRANDE | 81.8 | — | DBRX Instruct |
Pricing Comparison
| Tier (per Mtok) | DBRX Instruct | Mixtral 8x22B |
|---|---|---|
| Input | $0.75 | $1.2 |
| Output | $0.75 | $1.2 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
DBRX Instruct kontra Mixtral 8x22B
Przegląd modelu
DBRX Instruct and Mixtral 8x22B 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 |
|---|---|---|---|
| Other / Mistral | 2024-03-27 / 2024-04-10 | 32K / 64K | DBRX Open Model License / Apache 2.0 |
Wydajność benchmarków
| Benchmark | DBRX Instruct | Mixtral 8x22B | Zwycięzca |
|---|---|---|---|
| ARC | 93.9 | — | A |
| BBH (BIG-Bench Hard) | 71.7 | 74.5 | B |
| GPQA | 34.7 | — | A |
| GSM8K (Grade School Math 8K) | 78.7 | 78.6 | Tie |
| HumanEval | 72.8 | 45.2 | A |
| IFEval | 73.1 | — | A |
| MATH | 50.1 | 46.0 | A |
| MMLU (Massive Multitask Language Understanding) | 81.3 | 77.8 | A |
| MUSR | 54.7 | — | A |
| WinoGrande | 81.8 | — | A |
Porównanie cen
| Wejście | Wyjście | Odczyt pamięci podręcznej | Zapis pamięci podręcznej |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
za milion tokenów — A / B
Mocne strony & Słabe strony
DBRX Instruct
- ✅ MMLU score 81.3, strong knowledge reasoning.
- ✅ 采用 MoE 混合专家架构。
- ⚠️ 闭源专有模型，不支持自托管。
Mixtral 8x22B
- ✅ 采用 MoE 混合专家架构。
- ⚠️ HumanEval 45.2，代码能力较弱。
- ⚠️ 闭源专有模型，不支持自托管。
Opinia redakcji
DBRX Instruct and Mixtral 8x22B 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.