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Gemini 3.5 Flash-Lite vs WizardLM-2 8x22B

Detailed technical comparison between Gemini 3.5 Flash-Lite (Google) 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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.5 Flash-Lite: 1 WinvsWizardLM-2 8x22B: 5 Wins
Context Leader

Gemini 3.5 Flash-Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemini 3.5 Flash-Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.5 Flash-LiteWizardLM-2 8x22B
ProviderGoogleMicrosoft
Context Window1,048,576 tokens🏆65,535 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212024-04-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash-Lite

$0.30

WizardLM-2 8x22B

$0.62

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

WizardLM-2 8x22B

$0.62

💡 Cost Ratio: Gemini 3.5 Flash-Lite is 2.1x 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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
73.2%vs74.8%+1.6% WizardLM-2 8x22B
Gemini 3.5 Flash-Lite
WizardLM-2 8x22B 🏆
HumanEvalPython coding & logic synthesis
69.4%vs71.0%+1.6% WizardLM-2 8x22B
Gemini 3.5 Flash-Lite
WizardLM-2 8x22B 🏆
MATHComplex mathematical problem solving
42.6%vs44.2%+1.6% WizardLM-2 8x22B
Gemini 3.5 Flash-Lite
WizardLM-2 8x22B 🏆
GPQAGraduate-level expert reasoning
30.0%vs31.6%+1.6% WizardLM-2 8x22B
Gemini 3.5 Flash-Lite
WizardLM-2 8x22B 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs75.4%+1.8% Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 🏆
WizardLM-2 8x22B
MT-BenchMulti-turn conversation flow quality
8.0%vs8.1%+0.2% WizardLM-2 8x22B
Gemini 3.5 Flash-Lite
WizardLM-2 8x22B 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

WizardLM-2 8x22B Quirks & Gotchas

No developer gotchas reported.

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