Model Comparison
Qwen3 14B (Reasoning)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 12 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
AlQwen3 14B (Reasoning)10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
51.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.8 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 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads Llama 3.1 Tulu3 405B by 20.4 points on reasoning.
Top-pick rationale
Qwen3 14B (Reasoning) wins 10 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 14B (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 | Top Pick Al Qwen3 14B (Reasoning) | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.00/1M |
| Output Cost | $4.20/1M | $0.00/1M |
| Blended (3:1) | $1.31/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Apr 28, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 63.9 tok/s | — |
| TTFT | 1133ms | — |
| Latency | 32440ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 51.3 | 30.9 |
| Intelligence | 10.4 | 8.3 |
| Coding | 13.8 | — |
| Math | 55.7 | — |
| Standard Benchmarks | ||
| GPQA | 60.4% | 51.6% |
| MMLU Pro | 77.4% | 71.6% |
| HLE | 4.3% | 3.5% |
| LiveCodeBench | 52.3% | 29.1% |
| MATH 500 | 96.1% | 77.8% |
| AIME 2025 | 55.7% | — |
| AIME (Original) | 76.3% | 13.3% |
| SciCode | 31.6% | 30.2% |
| LCR | 0.0% | — |
| IFBench | 40.5% | — |
| TAU-bench v2 | 34.5% | — |
| TerminalBench Hard | 3.8% | — |
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 14B (Reasoning) has the strongest reasoning profile with a 51.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.8 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 14B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
