Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 34.4% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $2.55 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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.
10 months newer

Llama 3.2 90B Instruct
Meta
2024-09-25

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

Llama 3.2 90B Instruct

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 1 common benchmarks

Llama 3.2 90B Instruct

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

Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together

Llama 3.2 90B Instruct

Qwen3-235B-A22B-Thinking-2507

Llama 3.2 90B Instruct

Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507
Novita