Llama 3.2 1B Instruct vs Qwen3 235B A22B Thinking 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 3.2 1B Instruct and Qwen3 235B A22B Thinking 2507.
Llama 3.2 1B Instruct
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Technical Specifications
| Specification | Llama 3.2 1B Instruct | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 1B Instruct
$0.03
Qwen3 235B A22B Thinking 2507
$0.15
Output Price per Million Tokens
Llama 3.2 1B Instruct
$0.20
Qwen3 235B A22B Thinking 2507
$1.50
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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 3.2 1B Instruct Quirks & Gotchas
No developer gotchas reported.
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.