Llama 3.3 70B Instruct vs Qwen3-Next-80B-A3B-Instruct - AI Comparison for Builders | airank.dev

Llama 3.3 70B Instruct vs Qwen3-Next-80B-A3B-Instruct

Comprehensive side-by-side LLM comparison

Qwen3-Next-80B-A3B-Instruct leads with 29.6% higher average benchmark score. Llama 3.3 70B Instruct offers 124.9K more tokens in context window than Qwen3-Next-80B-A3B-Instruct. Llama 3.3 70B Instruct is $1.25 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 providers. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

9 months newer

Llama 3.3 70B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.3 70B Instruct

Input:$0.20

Output:$0.20($1.25 cheaper)

Qwen3-Next-80B-A3B-Instruct

Input:$0.15

Output:$1.50

Performance Metrics

Context window and performance specifications

Average performance across 30 common benchmarks

Llama 3.3 70B Instruct

Average Score:24.0%

Qwen3-Next-80B-A3B-Instruct

Average Score:53.6%(+29.6%)

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.3 70B Instruct

9 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Cerebras

Throughput: 2220 tok/s

Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s

Latency: 0.65ms

Fireworks

Throughput: 197 tok/s

Latency: 0.65ms

Groq

Llama 3.3 70B Instruct

Avg Score:24.0%

Providers:9

Qwen3-Next-80B-A3B-Instruct

Avg Score:53.6%(+29.6%)

Providers:1