Llama 3.3 70B Instruct vs WizardLM-2 8x22B
Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and WizardLM-2 8x22B (Microsoft). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Llama 3.3 70B Instruct
131,072 tokensTie
Equal CapabilityTie
Equal SpeedLlama 3.3 70B Instruct
$0.13 / MTokLlama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
WizardLM-2 8x22B
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...
Technical Specifications
๐ = Superior Spec| Specification | Llama 3.3 70B Instruct | WizardLM-2 8x22B |
|---|---|---|
| Provider | Meta | Microsoft |
| Context Window | 131,072 tokens๐ | 65,535 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | self hostable | managed api |
| Production Stability | Stable GA (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2024-04-16 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.13
WizardLM-2 8x22B
$0.62
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.40
WizardLM-2 8x22B
$0.62
๐ก Cost Ratio: Llama 3.3 70B Instruct is 4.8x cheaper per input token than WizardLM-2 8x22B.
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Benchmark Performance Metrics
Standardized Scores (0โ100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.
WizardLM-2 8x22B Quirks & Gotchas
No developer gotchas reported.
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