Model Comparison
Qwen3 4B 2507 Instruct
vs. R1 1776
Comparing 2 AI models · 11 benchmarks · Alibaba, Perplexity
Recommended Pick
AlQwen3 4B 2507 Instruct1 metric winsStrongest on: Intelligence
Lowest Price
Qwen3 4B 2507 Instruct
$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 Qwen3 4B 2507 Instruct by 17.2 points on reasoning.
Top-pick rationale
Qwen3 4B 2507 Instruct wins 1 measurable categories, including Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B 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 4B 2507 Instruct | 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 | Aug 6, 2025 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 33.6 | 50.8 |
| Intelligence | 7.1 | 6.3 |
| Math | 52.3 | — |
| Standard Benchmarks | ||
| GPQA | 51.7% | — |
| MMLU Pro | 67.2% | — |
| HLE | 4.7% | — |
| LiveCodeBench | 37.7% | — |
| MATH 500 | — | 95.4% |
| AIME 2025 | 52.3% | — |
| SciCode | 18.1% | — |
| LCR | 7.3% | — |
| IFBench | 33.5% | — |
| TAU-bench v2 | 26.6% | — |
| TerminalBench Hard | 4.5% | — |
Key Takeaways
Qwen3 4B 2507 Instruct 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
Qwen3 4B 2507 Instruct
- Cost-sensitive applications
- High-volume processing
R1 1776
- Complex reasoning tasks
- Research & analysis
