Model Comparison
Qwen3 4B (Non-reasoning)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 7 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
AlLlama 3.1 Tulu3 405B5 metric winsStrongest on: Intelligence, GPQA, MMLU Pro
Lowest Price
Qwen3 4B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 4B (Non-reasoning)
31.2 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
Qwen3 4B (Non-reasoning) leads Llama 3.1 Tulu3 405B by 0.3 points on reasoning.
Top-pick rationale
Llama 3.1 Tulu3 405B wins 5 measurable categories, including Intelligence, GPQA, MMLU Pro, LiveCodeBench.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B (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?
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Full Comparison
| Metric | Al Qwen3 4B (Non-reasoning) | Top Pick Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Apr 28, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 31.2 | 30.9 |
| Intelligence | 6.8 | 8.3 |
| Standard Benchmarks | ||
| GPQA | 39.8% | 51.6% |
| MMLU Pro | 58.6% | 71.6% |
| HLE | 3.7% | 3.5% |
| LiveCodeBench | 23.3% | 29.1% |
| MATH 500 | 84.3% | 77.8% |
| AIME (Original) | 21.3% | 13.3% |
| SciCode | 16.7% | 30.2% |
Key Takeaways
Qwen3 4B (Non-reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 4B (Non-reasoning) has the strongest reasoning profile with a 31.2 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 (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Llama 3.1 Tulu3 405B
- General-purpose AI
- Versatile applications
