Model Comparison
Qwen2.5 Coder Instruct 32B
vs. R1 1776
Comparing 2 AI models · 7 benchmarks · Alibaba, Perplexity
Recommended Pick
Strongest on: Reasoning, MATH 500
Lowest Price
Qwen2.5 Coder Instruct 32B
$0.00/1M input price
Best Reasoning
R1 1776
50.8 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
R1 1776 leads Qwen2.5 Coder Instruct 32B by 22.6 points on reasoning.
Top-pick rationale
R1 1776 wins 2 measurable categories, including Reasoning, MATH 500.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Coder Instruct 32B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
R1 1776
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Al Qwen2.5 Coder Instruct 32B | Top Pick Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Nov 11, 2024 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 28.3 | 50.8 |
| Intelligence | 7.1 | 6.3 |
| Standard Benchmarks | ||
| GPQA | 41.7% | — |
| MMLU Pro | 63.5% | — |
| HLE | 3.8% | — |
| LiveCodeBench | 29.5% | — |
| MATH 500 | 76.7% | 95.4% |
| AIME (Original) | 12.0% | — |
| SciCode | 27.1% | — |
Key Takeaways
Qwen2.5 Coder Instruct 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
R1 1776 has the strongest reasoning profile with a 50.8 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen2.5 Coder Instruct 32B
- Cost-sensitive applications
- High-volume processing
R1 1776
- Complex reasoning tasks
- Research & analysis