Claude 3.5 Sonnet vs Gemini 1.5 Pro: Benchmark Comparison
Detailed comparison of Claude 3.5 Sonnet and Gemini 1.5 Pro covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | Claude 3.5 Sonnet | Gemini 1.5 Pro |
|---|---|---|
| Vendor | anthropic | |
| Version | 3.5-sonnet | 1.5-pro |
| Release Date | 2024-06-20 | 2024-02-15 |
| Context Window | 200000 tokens | 2e+06 tokens |
| Input Modalities | text, image | text, image, audio, video |
| Output Modalities | text | text |
| License | Proprietary | Proprietary |
| SOC2 | ✓ | ✓ |
| HIPAA | ✗ | ✗ |
| GDPR | ✓ | ✓ |
| ISO 27001 | ✗ | ✓ |
Benchmark Results
| Benchmark | Claude 3.5 Sonnet | Gemini 1.5 Pro | Winner |
|---|---|---|---|
| BBH | 84.5 | 84 | Claude 3.5 Sonnet |
| GSM8K | 96.4 | 91.7 | Claude 3.5 Sonnet |
| HUMANEVAL | 92 | 71.9 | Claude 3.5 Sonnet |
| MATH | 71.1 | 58.5 | Claude 3.5 Sonnet |
| MMLU | 88.7 | 85.9 | Claude 3.5 Sonnet |
Pricing Comparison
| Tier (per Mtok) | Claude 3.5 Sonnet | Gemini 1.5 Pro |
|---|---|---|
| Input | $3 | $1.25 |
| Output | $15 | $5 |
| Cache Read | $0.3 | $0.3125 |
| Cache Write | $3.75 | $1.25 |
Claude 3.5 Sonnet vs Gemini 1.5 Pro
Model Overview
Claude 3.5 Sonnet and Gemini 1.5 Pro are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Key Specifications
| Vendor | Release Date | Context Window | License |
|---|---|---|---|
| Anthropic / Google | 2024-06-20 / 2024-02-15 | 200K / 2000K | Proprietary / Proprietary |
Benchmark Performance
| Benchmark | Claude 3.5 Sonnet | Gemini 1.5 Pro | Winner |
|---|---|---|---|
| BBH (BIG-Bench Hard) | 84.5 | 84.0 | A |
| GSM8K (Grade School Math 8K) | 96.4 | 91.7 | A |
| HumanEval | 92.0 | 71.9 | A |
| MATH | 71.1 | 58.5 | A |
| MMLU (Massive Multitask Language Understanding) | 88.7 | 85.9 | A |
Pricing Comparison
| Input | Output | Cache Read | Cache Write |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per million tokens — A / B
Strengths & Weaknesses
Claude 3.5 Sonnet
- ✅ MMLU score 88.7, strong knowledge reasoning.
- ✅ HumanEval 92.0, excellent code generation.
- ✅ GSM8K 96.4, robust math reasoning.
- ✅ Context window 200K.
- ⚠️ Proprietary, not self-hostable.
Gemini 1.5 Pro
- ✅ MMLU score 85.9, strong knowledge reasoning.
- ✅ GSM8K 91.7, robust math reasoning.
- ✅ Input Modalities: text, image, audio.
- ✅ Context window 2000K.
- ⚠️ Proprietary, not self-hostable.
Editor’s Take
Claude 3.5 Sonnet and Gemini 1.5 Pro 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.
References
Editor's Take
See Editor's Take section.