Model Comparison
Qwen3 VL 32B Instruct
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 12 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
Al Qwen3 VL 32B Instruct 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Qwen3 VL 32B Instruct
45.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 32B Instruct
15.6 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 VL 32B Instruct.
Reasoning gap
Qwen3 VL 32B Instruct leads Llama 3.1 Tulu3 405B by 13.4 points on reasoning.
Top-pick rationale
Qwen3 VL 32B Instruct 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 32B Instruct
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
—
Time
—
tok/s
—
Tokens
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Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 VL 32B Instruct | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.00/1M |
| Output Cost | $2.80/1M | $0.00/1M |
| Blended (3:1) | $1.22/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Oct 21, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 76.1 tok/s | — |
| TTFT | 1189ms | — |
| Latency | 1189ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 45.4 | 32.1 |
| Intelligence | 17.2 | 14.1 |
| Coding | 15.6 | — |
| Math | 68.3 | — |
| Standard Benchmarks | ||
| GPQA | 67.1% | 51.6% |
| MMLU Pro | 79.1% | 71.6% |
| HLE | 6.3% | 3.5% |
| LiveCodeBench | 51.4% | 29.1% |
| MATH 500 | — | 77.8% |
| AIME 2025 | 68.3% | — |
| AIME (Original) | — | 13.3% |
| SciCode | 30.1% | 30.2% |
| LCR | 31.3% | — |
| IFBench | 39.2% | — |
| TAU-bench v2 | 29.2% | — |
| TerminalBench Hard | 8.3% | — |
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 32B Instruct has the strongest reasoning profile with a 45.4 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 32B Instruct reaches a 15.6 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 VL 32B Instruct
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
