Model Comparison
Qwen3.6 35B A3B (Non-reasoning)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 11 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
Al Qwen3.6 35B A3B (Non-reasoning) 5 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Qwen3.6 35B A3B (Non-reasoning)
41.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 35B A3B (Non-reasoning)
17.6 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 Qwen3.6 35B A3B (Non-reasoning).
Reasoning gap
Qwen3.6 35B A3B (Non-reasoning) leads Llama 3.1 Tulu3 405B by 9.8 points on reasoning.
Top-pick rationale
Qwen3.6 35B A3B (Non-reasoning) wins 5 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.
Qwen3.6 35B A3B (Non-reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Llama 3.1 Tulu3 405B
Allen Institute for AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3.6 35B A3B (Non-reasoning) | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.38/1M | $0.00/1M |
| Output Cost | $2.25/1M | $0.00/1M |
| Blended (3:1) | $0.84/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Apr 16, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 171.3 tok/s | — |
| TTFT | 1394ms | — |
| Latency | 1394ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 41.9 | 32.1 |
| Intelligence | 31.5 | 14.1 |
| Coding | 17.6 | — |
| Standard Benchmarks | ||
| GPQA | 81.7% | 51.6% |
| MMLU Pro | — | 71.6% |
| HLE | 12.5% | 3.5% |
| LiveCodeBench | — | 29.1% |
| MATH 500 | — | 77.8% |
| AIME (Original) | — | 13.3% |
| SciCode | 1.3% | 30.2% |
| LCR | 56.7% | — |
| IFBench | 36.2% | — |
| TAU-bench v2 | 85.1% | — |
| TerminalBench Hard | 25.8% | — |
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.
Qwen3.6 35B A3B (Non-reasoning) has the strongest reasoning profile with a 41.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 35B A3B (Non-reasoning) reaches a 17.6 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
Qwen3.6 35B A3B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
