GPT-4o vs Mistral Large 2: Benchmark Comparison
Detailed comparison of GPT-4o and Mistral Large 2 covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | GPT-4o | Mistral Large 2 |
|---|---|---|
| Vendor | openai | mistral |
| Version | 4o | large-2 |
| Release Date | 2024-05-13 | 2024-07-24 |
| Context Window | 128000 tokens | 128000 tokens |
| Input Modalities | text, image, audio | text |
| Output Modalities | text, audio | text |
| License | Proprietary | Mistral Research License |
| SOC2 | ✓ | ✓ |
| HIPAA | ✓ | ✗ |
| GDPR | ✓ | ✓ |
| ISO 27001 | ✓ | ✓ |
Benchmark Results
| Benchmark | GPT-4o | Mistral Large 2 | Winner |
|---|---|---|---|
| BBH | 83.1 | 81 | GPT-4o |
| GSM8K | 95.8 | 93 | GPT-4o |
| HUMANEVAL | 90.2 | 92 | Mistral Large 2 |
| MATH | 76.6 | 71 | GPT-4o |
| MMLU | 88.7 | 84 | GPT-4o |
Pricing Comparison
| Tier (per Mtok) | GPT-4o | Mistral Large 2 |
|---|---|---|
| Input | $2.5 | $2 |
| Output | $10 | $6 |
| Cache Read | $1.25 | $0 |
| Cache Write | $2.5 | $0 |
GPT-4o gegen Mistral Large 2
Modellübersicht
GPT-4o and Mistral Large 2 are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Hauptspezifikationen
| Anbieter | Veröffentlichungsdatum | Kontextfenster | Lizenz |
|---|---|---|---|
| Openai / Mistral | 2024-05-13 / 2024-07-24 | 128K / 128K | Proprietary / Mistral Research License |
Benchmark-Leistung
| Benchmark | GPT-4o | Mistral Large 2 | Gewinner |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 83.1 | 81.0 | A |
| GSM8K (Grade School Math 8K) | 95.8 | 93.0 | A |
| HumanEval | 90.2 | 92.0 | B |
| MATH | 76.6 | 71.0 | A |
| MMLU (Massive Multitask Language Understanding) | 88.7 | 84.0 | A |
Preisvergleich
| Eingabe | Ausgabe | Cache-Lesen | Cache-Schreiben |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
pro Million Token — A / B
Stärken & Schwächen
GPT-4o
- ✅ MMLU score 88.7, strong knowledge reasoning.
- ✅ HumanEval 90.2, excellent code generation.
- ✅ GSM8K 95.8, 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。
Mistral Large 2
- ✅ MMLU score 84.0, strong knowledge reasoning.
- ✅ HumanEval 92.0, excellent code generation.
- ✅ GSM8K 93.0, robust math reasoning.
- ⚠️ 闭源专有模型，不支持自托管。
Redaktionsmeinung
GPT-4o and Mistral Large 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.
Referenzen
Editor's Take
See Editor's Take section.