Qwen3 235B A22B Thinking 2507 vs R1 Distill Llama 70B
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 Qwen3 235B A22B Thinking 2507 and R1 Distill Llama 70B.
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...
R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
Technical Specifications
| Specification | Qwen3 235B A22B Thinking 2507 | R1 Distill Llama 70B |
|---|---|---|
| Provider | Alibaba | DeepSeek |
| Context Window | 262,144 tokens | 128,000 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 | 2025-07-25 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3 235B A22B Thinking 2507
$0.15
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
Qwen3 235B A22B Thinking 2507
$1.50
R1 Distill Llama 70B
$0.80
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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.
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.