Model Comparison

Llama 3.3 70B Instruct vs WizardLM 2 8x22B

Compare the listed model data for Llama 3.3 70B Instruct by Meta Llama and WizardLM 2 8x22B by WizardLM. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Llama 3.3 70B Instruct: 128K tokens; WizardLM 2 8x22B: 64K tokens. Llama 3.3 70B Instruct has the larger listed context window. Llama 3.3 70B Instruct is listed for coding, agentic workflows, long-context tasks; WizardLM 2 8x22B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: Llama 3.3 70B Instruct 86.0%; WizardLM 2 8x22B 77.2%; HumanEval: Llama 3.3 70B Instruct 88.4%; WizardLM 2 8x22B 78.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

  • The listed context windows are 128K tokens and 64K tokens; the larger is 2× the smaller.
  • On shared numeric benchmark entries, MMLU: Llama 3.3 70B Instruct − WizardLM 2 8x22B = +8.8 percentage points (86.0% vs 77.2%); HumanEval: Llama 3.3 70B Instruct − WizardLM 2 8x22B = +10.4 percentage points (88.4% vs 78.0%).
  • The first listed parameter quantities are 70B and 8x22B MoE; the larger quantity is 3.18× the smaller. Total and active MoE parameters are not directly equivalent.
  • The catalog release dates are December 2024 and April 2024, about 8 months apart at the precision supplied.

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose Llama 3.3 70B Instruct if…

Choose Llama 3.3 70B Instruct when your task aligns with catalog-listed uses or strengths such as Enterprise text processing at 70B quality, Production chatbots for business, Code assistance, Best performance per dollar in the Llama 3.x family at 70B scale.

Choose WizardLM 2 8x22B if…

Choose WizardLM 2 8x22B when your task aligns with catalog-listed uses or strengths such as Research on instruction tuning methods, High-quality academic writing assistance, 9.01 MT-Bench — GPT-4-competitive at April 2024 release, WizardLM Evol-Instruct produces highly capable instruction following.

Llama 3.3 70B Instruct

Browse Meta Llama models

Latest Llama-3.3 70B — exceptional instruction following, coding, and multilingual capabilities across 8 languages.

Parameters: 70B

Context: 128K tokens

Catalog pricing: Llama 3.3 Community License — free. Third-party: $0.59-0.90/MTok

Meta Llama Coding · Agentic · Long Context Open Source

View Llama 3.3 70B Instruct model profile

WizardLM 2 8x22B

Browse WizardLM models

WizardLM-2 8x22B MoE — excellent at following complex instructions, creative writing, and complex reasoning tasks.

Parameters: 8x22B MoE

Context: 64K tokens

Catalog pricing: CC-BY-NC — free for non-commercial research

WizardLM Coding · Long Context Open Source

View WizardLM 2 8x22B model profile

Feature Comparison — Llama 3.3 70B Instruct vs WizardLM 2 8x22B

Catalog specifications for Llama 3.3 70B Instruct and WizardLM 2 8x22B
Specification Llama 3.3 70B Instruct WizardLM 2 8x22B
Provider Meta Llama WizardLM
Parameters 70B 8x22B MoE
Context window 128K tokens 64K tokens
Maximum output Not listed Not listed
Catalog pricing Llama 3.3 Community License — free. Third-party: $0.59-0.90/MTok CC-BY-NC — free for non-commercial research
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License Meta Llama 3.3 Community License CC BY-NC 4.0
Coding support Listed Listed
Reasoning support Not listed Not listed
Vision input Not listed Not listed
Multimodal Not listed Not listed
Open weights Yes Yes
Benchmark: MMLU 86.0% 77.2%
Benchmark: HumanEval 88.4% 78.0%

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Llama 3.3 70B Instruct and WizardLM 2 8x22B?
Llama 3.3 70B Instruct: 128K tokens; WizardLM 2 8x22B: 64K tokens. Llama 3.3 70B Instruct has the larger listed context window. Llama 3.3 70B Instruct is listed for coding, agentic workflows, long-context tasks; WizardLM 2 8x22B is listed for coding, long-context tasks. Shared catalog benchmark entries: MMLU: Llama 3.3 70B Instruct 86.0%; WizardLM 2 8x22B 77.2%; HumanEval: Llama 3.3 70B Instruct 88.4%; WizardLM 2 8x22B 78.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Llama 3.3 70B Instruct and WizardLM 2 8x22B?
MMLU: Llama 3.3 70B Instruct 86.0%; WizardLM 2 8x22B 77.2%; HumanEval: Llama 3.3 70B Instruct 88.4%; WizardLM 2 8x22B 78.0%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Llama 3.3 70B Instruct: 128K tokens; WizardLM 2 8x22B: 64K tokens. Llama 3.3 70B Instruct has the larger listed context window.
What are the listed costs per million tokens for Llama 3.3 70B Instruct and WizardLM 2 8x22B?
Llama 3.3 70B Instruct: Separate numeric input/output rates not listed (Llama 3.3 Community License — free. Third-party: $0.59-0.90/MTok). WizardLM 2 8x22B: Separate numeric input/output rates not listed (CC-BY-NC — free for non-commercial research). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Llama 3.3 70B Instruct and WizardLM 2 8x22B?
The catalog lists Llama 3.3 70B Instruct as December 2024 and WizardLM 2 8x22B as April 2024, about 8 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Llama 3.3 70B Instruct and WizardLM 2 8x22B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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