Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 19.2% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $2.90 cheaper per million tokens. Llama 3.1 70B Instruct is available on 9 providers. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
1 year newer

Llama 3.1 70B Instruct
Meta
2024-07-23

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)

Llama 3.1 70B Instruct

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 3 common benchmarks

Llama 3.1 70B Instruct

Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics

Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.1 70B Instruct

Qwen3-235B-A22B-Thinking-2507

Llama 3.1 70B Instruct

Qwen3-235B-A22B-Thinking-2507
Hyperbolic
Lambda
Sambanova
Together

Qwen3-235B-A22B-Thinking-2507
Novita