Model Comparison
Qwen3 VL 30B A3B (Reasoning)
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 12 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
Al Qwen3 VL 30B A3B (Reasoning) 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Qwen3 VL 30B A3B (Reasoning)
53.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 30B A3B (Reasoning)
13.1 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 VL 30B A3B (Reasoning).
Reasoning gap
Qwen3 VL 30B A3B (Reasoning) leads Llama 3.1 Tulu3 405B by 20.9 points on reasoning.
Top-pick rationale
Qwen3 VL 30B A3B (Reasoning) wins 7 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 VL 30B A3B (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 VL 30B A3B (Reasoning) | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.00/1M |
| Output Cost | $0.75/1M | $0.00/1M |
| Blended (3:1) | $0.34/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Oct 3, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 124.0 tok/s | — |
| TTFT | 1032ms | — |
| Latency | 17166ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 53.0 | 32.1 |
| Intelligence | 19.7 | 14.1 |
| Coding | 13.1 | — |
| Math | 82.3 | — |
| Standard Benchmarks | ||
| GPQA | 72.0% | 51.6% |
| MMLU Pro | 80.7% | 71.6% |
| HLE | 8.7% | 3.5% |
| LiveCodeBench | 69.7% | 29.1% |
| MATH 500 | — | 77.8% |
| AIME 2025 | 82.3% | — |
| AIME (Original) | — | 13.3% |
| SciCode | 28.8% | 30.2% |
| LCR | 40.7% | — |
| IFBench | 45.1% | — |
| TAU-bench v2 | 19.9% | — |
| TerminalBench Hard | 5.3% | — |
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 VL 30B A3B (Reasoning) has the strongest reasoning profile with a 53.0 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 30B A3B (Reasoning) reaches a 13.1 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 VL 30B A3B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
