Model Comparison
Qwen3 VL 4B Instruct
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 12 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
Al Llama 3.1 Tulu3 405B 6 metric wins Strongest on: Reasoning, Intelligence, GPQA
Lowest Price
Qwen3 VL 4B Instruct
$0.00/1M input price
Best Reasoning
Llama 3.1 Tulu3 405B
32.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 4B Instruct
4.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Llama 3.1 Tulu3 405B leads Qwen3 VL 4B Instruct by 7.2 points on reasoning.
Top-pick rationale
Llama 3.1 Tulu3 405B wins 6 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 4B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3.1 Tulu3 405B
Allen Institute for AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 VL 4B Instruct | 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 | Oct 14, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 24.9 | 32.1 |
| Intelligence | 9.6 | 14.1 |
| Coding | 4.6 | — |
| Math | 37.0 | — |
| Standard Benchmarks | ||
| GPQA | 37.1% | 51.6% |
| MMLU Pro | 63.4% | 71.6% |
| HLE | 3.7% | 3.5% |
| LiveCodeBench | 29.0% | 29.1% |
| MATH 500 | — | 77.8% |
| AIME 2025 | 37.0% | — |
| AIME (Original) | — | 13.3% |
| SciCode | 13.7% | 30.2% |
| LCR | 13.0% | — |
| IFBench | 31.8% | — |
| TAU-bench v2 | 23.4% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Qwen3 VL 4B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama 3.1 Tulu3 405B has the strongest reasoning profile with a 32.1 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 4B Instruct reaches a 4.6 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 4B Instruct
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- Complex reasoning tasks
- Research & analysis
