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 contre Codestral
Aperçu du modèle
DeepSeek Coder V2 and Codestral are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Spécifications clés
| Fournisseur | Date de sortie | Fenêtre de contexte | Licence |
|---|---|---|---|
| Deepseek / Mistral | 2024-06-21 / 2024-05-29 | 128K / 32K | DeepSeek License / MNPL |
Performance aux benchmarks
| Benchmark | DeepSeek Coder V2 | Codestral | Gagnant |
|---|---|---|---|
| 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 |
Comparaison des prix
| Entrée | Sortie | Lecture cache | Écriture cache |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
par million de jetons — A / B
Forces & Faiblesses
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。
Avis de la rédaction
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.
Références
Editor's Take
See Editor's Take section.