Model Comparison
Qwen3.5 397B A17B (Reasoning)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 11 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
AlQwen3.5 397B A17B (Reasoning)6 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Qwen3.5 397B A17B (Reasoning)
50.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 397B A17B (Reasoning)
48.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Llama 3.1 Tulu3 405B is ∞x cheaper on input tokens than Qwen3.5 397B A17B (Reasoning).
Reasoning gap
Qwen3.5 397B A17B (Reasoning) leads Llama 3.1 Tulu3 405B by 19.2 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Reasoning) wins 6 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 397B A17B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3.1 Tulu3 405B
Allen Institute for AI
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 Qwen3.5 397B A17B (Reasoning) | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.00/1M |
| Output Cost | $3.60/1M | $0.00/1M |
| Blended (3:1) | $1.35/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Feb 16, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 61.5 tok/s | — |
| TTFT | 1820ms | — |
| Latency | 53604ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 50.1 | 30.9 |
| Intelligence | 33.7 | 8.3 |
| Coding | 48.2 | — |
| Standard Benchmarks | ||
| GPQA | 89.3% | 51.6% |
| MMLU Pro | — | 71.6% |
| HLE | 27.3% | 3.5% |
| LiveCodeBench | — | 29.1% |
| MATH 500 | — | 77.8% |
| AIME (Original) | — | 13.3% |
| SciCode | 42.0% | 30.2% |
| LCR | 65.7% | — |
| IFBench | 78.8% | — |
| TAU-bench v2 | 95.6% | — |
| TerminalBench Hard | 40.9% | — |
Key Takeaways
Llama 3.1 Tulu3 405B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 397B A17B (Reasoning) has the strongest reasoning profile with a 50.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 397B A17B (Reasoning) reaches a 48.2 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.5 397B A17B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
