Model Comparison
Qwen3 4B 2507 Instruct
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 12 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
AlQwen3 4B 2507 Instruct4 metric winsStrongest on: Reasoning, GPQA, HLE
Lowest Price
Qwen3 4B 2507 Instruct
$0.00/1M input price
Best Reasoning
Qwen3 4B 2507 Instruct
33.6 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 2507 Instruct leads Llama 3.1 Tulu3 405B by 2.7 points on reasoning.
Top-pick rationale
Qwen3 4B 2507 Instruct wins 4 measurable categories, including Reasoning, GPQA, HLE, LiveCodeBench.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B 2507 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
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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 4B 2507 Instruct | 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 | Aug 6, 2025 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 33.6 | 30.9 |
| Intelligence | 7.1 | 8.3 |
| Math | 52.3 | — |
| Standard Benchmarks | ||
| GPQA | 51.7% | 51.6% |
| MMLU Pro | 67.2% | 71.6% |
| HLE | 4.7% | 3.5% |
| LiveCodeBench | 37.7% | 29.1% |
| MATH 500 | — | 77.8% |
| AIME 2025 | 52.3% | — |
| AIME (Original) | — | 13.3% |
| SciCode | 18.1% | 30.2% |
| LCR | 7.3% | — |
| IFBench | 33.5% | — |
| TAU-bench v2 | 26.6% | — |
| TerminalBench Hard | 4.5% | — |
Key Takeaways
Qwen3 4B 2507 Instruct offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 4B 2507 Instruct has the strongest reasoning profile with a 33.6 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 2507 Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Llama 3.1 Tulu3 405B
- General-purpose AI
- Versatile applications
