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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.

โšก Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 6 WinsvsWizardLM-2 8x22B: 0 Wins
Context Leader

Llama 3.3 70B Instruct

131,072 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Metaactive

Llama 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...

View Llama 3.3 70B Instruct Full Specs โ†’
Microsoftactive

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...

View WizardLM-2 8x22B Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructWizardLM-2 8x22B
ProviderMetaMicrosoft
Context Window131,072 tokens๐Ÿ†65,535 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062024-04-16

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

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 4.8x cheaper per input token than WizardLM-2 8x22B.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.0%vs74.8%+12.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B
HumanEvalPython coding & logic synthesis
86.2%vs71.0%+15.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B
MATHComplex mathematical problem solving
67.4%vs44.2%+23.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B
GPQAGraduate-level expert reasoning
48.8%vs31.6%+17.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B
HellaSwagCommonsense reasoning and inference
88.0%vs75.4%+12.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B
MT-BenchMulti-turn conversation flow quality
9.1%vs8.1%+0.9% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
WizardLM-2 8x22B

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

WizardLM-2 8x22B Quirks & Gotchas

No developer gotchas reported.

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