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Llama 3.3 70B Instruct vs Qwen3 235B A22B Instruct 2507

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 235B A22B Instruct 2507.

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 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

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Technical Specifications

SpecificationLlama 3.3 70B InstructQwen3 235B A22B Instruct 2507
ProviderMetaAlibaba
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-12-062025-07-21

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.10

Qwen3 235B A22B Instruct 2507

$0.09

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.32

Qwen3 235B A22B Instruct 2507

$0.10

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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 235B A22B Instruct 2507 Quirks & Gotchas

No developer gotchas reported.