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Llama 3.3 70B Instruct vs Qwen3 VL 235B A22B Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.3 70B Instruct and Qwen3 VL 235B A22B Thinking.

Meta

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...

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Alibaba

Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

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Technical Specifications

SpecificationLlama 3.3 70B InstructQwen3 VL 235B A22B Thinking
ProviderMetaAlibaba
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-12-062025-09-23

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.10

Qwen3 VL 235B A22B Thinking

$0.26

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.32

Qwen3 VL 235B A22B Thinking

$2.60

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Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 235B A22B Thinking Quirks & Gotchas

No developer gotchas reported.