Llama 3.1 8B Instruct vs Qwen3-235B-A22B-Thinking-2507 - AI Comparison for Builders | airank.dev

Llama 3.1 8B Instruct vs Qwen3-235B-A22B-Thinking-2507

Comprehensive side-by-side LLM comparison

Qwen3-235B-A22B-Thinking-2507 leads with 15.7% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $3.24 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.

1 year newer

Llama 3.1 8B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.1 8B Instruct

Input:$0.03

Output:$0.03($3.24 cheaper)

Qwen3-235B-A22B-Thinking-2507

Input:$0.30

Output:$3.00

Performance Metrics

Context window and performance specifications

Average performance across 40 common benchmarks

Llama 3.1 8B Instruct

Average Score:27.6%

Qwen3-235B-A22B-Thinking-2507

Average Score:43.3%(+15.7%)

Knowledge Cutoff

Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 8B Instruct

9 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s

Latency: 0.2ms

DeepInfra

Throughput: 118 tok/s

Latency: 0.5ms

Fireworks

Throughput: 292 tok/s

Latency: 0.5ms

Groq

Llama 3.1 8B Instruct

Avg Score:27.6%

Providers:9

Qwen3-235B-A22B-Thinking-2507

Avg Score:43.3%(+15.7%)

Providers:1