Model Comparison
Qwen3 30B A3B 2507 Instruct
vs. R1 1776
Comparing 2 AI models · 12 benchmarks · Alibaba, Perplexity
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
Qwen3 30B A3B 2507 Instruct
54.9 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
Price gap
R1 1776 is ∞x cheaper on input tokens than Qwen3 30B A3B 2507 Instruct.
Reasoning gap
Qwen3 30B A3B 2507 Instruct leads R1 1776 by 4.1 points on reasoning.
Top-pick rationale
Qwen3 30B A3B 2507 Instruct wins 4 measurable categories, including Throughput, Reasoning, Intelligence, MATH 500.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 30B A3B 2507 Instruct
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 | Top Pick Al Qwen3 30B A3B 2507 Instruct | Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.00/1M |
| Output Cost | $0.80/1M | $0.00/1M |
| Blended (3:1) | $0.35/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Jul 29, 2025 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | 152.8 tok/s | — |
| TTFT | 971ms | — |
| Latency | 971ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 54.9 | 50.8 |
| Intelligence | 9.1 | 6.3 |
| Math | 66.3 | — |
| Standard Benchmarks | ||
| GPQA | 65.9% | — |
| MMLU Pro | 77.7% | — |
| HLE | 6.8% | — |
| LiveCodeBench | 51.5% | — |
| MATH 500 | 97.5% | 95.4% |
| AIME 2025 | 66.3% | — |
| AIME (Original) | 72.7% | — |
| SciCode | 30.4% | — |
| LCR | 22.7% | — |
| IFBench | 33.1% | — |
| TAU-bench v2 | 10.2% | — |
| TerminalBench Hard | 6.1% | — |
Key Takeaways
R1 1776 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 30B A3B 2507 Instruct has the strongest reasoning profile with a 54.9 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
Qwen3 30B A3B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
R1 1776
- Cost-sensitive applications
- High-volume processing