Qwen Plus 0728 (thinking) 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 Qwen Plus 0728 (thinking) and R1 Distill Llama 70B.
Qwen Plus 0728 (thinking)
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
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 | Qwen Plus 0728 (thinking) | R1 Distill Llama 70B |
|---|---|---|
| Provider | Alibaba | DeepSeek |
| Context Window | 1,000,000 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 | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-09-08 | 2025-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Qwen Plus 0728 (thinking)
$0.26
R1 Distill Llama 70B
$0.80
Output Price per Million Tokens
Qwen Plus 0728 (thinking)
$0.78
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.
Qwen Plus 0728 (thinking) Quirks & Gotchas
No developer gotchas reported.
R1 Distill Llama 70B Quirks & Gotchas
No developer gotchas reported.