DeepSeek Coder V2 vs Codestral: Benchmark Comparison
Detailed comparison of DeepSeek Coder V2 and Codestral covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | DeepSeek Coder V2 | Codestral |
|---|---|---|
| Vendor | deepseek | mistral |
| Version | coder-v2 | codestral |
| Release Date | 2024-06-21 | 2024-05-29 |
| Context Window | 128000 tokens | 32000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | DeepSeek License | MNPL |
| SOC2 | ✗ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | DeepSeek Coder V2 | Codestral | Winner |
|---|---|---|---|
| ARC | 88.5 | 87.4 | DeepSeek Coder V2 |
| BBH | 72.3 | 58.3 | DeepSeek Coder V2 |
| GPQA | 25.4 | 32.4 | Codestral |
| GSM8K | 62.9 | 63.3 | Codestral |
| HUMANEVAL | 88.9 | 69.2 | DeepSeek Coder V2 |
| IFEVAL | 56.7 | 59.4 | Codestral |
| MATH | 38.2 | 29.4 | DeepSeek Coder V2 |
| MMLU | 72.3 | 75.1 | Codestral |
| MUSR | 40.3 | 47.2 | Codestral |
| WINOGRANDE | 78.8 | 75.8 | DeepSeek Coder V2 |
Pricing Comparison
| Tier (per Mtok) | DeepSeek Coder V2 | Codestral |
|---|---|---|
| Input | $0.14 | $0.3 |
| Output | $0.28 | $0.9 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
DeepSeek Coder V2 vs Codestral
Ikhtisar Model
DeepSeek Coder V2 and Codestral are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Spesifikasi Utama
| Vendor | Tanggal Rilis | Jendela Konteks | Lisensi |
|---|---|---|---|
| Deepseek / Mistral | 2024-06-21 / 2024-05-29 | 128K / 32K | DeepSeek License / MNPL |
Kinerja Benchmark
| Benchmark | DeepSeek Coder V2 | Codestral | Pemenang |
|---|---|---|---|
| ARC | 88.5 | 87.4 | A |
| BBH (BIG-Bench Hard) | 72.3 | 58.3 | A |
| GPQA | 25.4 | 32.4 | B |
| GSM8K (Grade School Math 8K) | 62.9 | 63.3 | Tie |
| HumanEval | 88.9 | 69.2 | A |
| IFEval | 56.7 | 59.4 | B |
| MATH | 38.2 | 29.4 | A |
| MMLU (Massive Multitask Language Understanding) | 72.3 | 75.1 | B |
| MUSR | 40.3 | 47.2 | B |
| WinoGrande | 78.8 | 75.8 | A |
Perbandingan Harga
| Input | Output | Baca Cache | Tulis Cache |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per juta token — A / B
Kelebihan & Kekurangan
DeepSeek Coder V2
- ✅ HumanEval 88.9, excellent code generation.
- ✅ 采用 MoE 混合专家架构。
- ⚠️ 闭源专有模型，不支持自托管。
Codestral
- ✅ 可靠的通用模型。
- ⚠️ 闭源专有模型，不支持自托管。
Pendapat Editor
DeepSeek Coder V2 and Codestral 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.
Referensi
Editor's Take
See Editor's Take section.