Model Comparison
Llama 3.1 Instruct 8B
vs. Qwen3 VL 8B Instruct
Comparing 2 AI models · 12 benchmarks · Meta, Alibaba
Recommended Pick
Al Qwen3 VL 8B Instruct 12 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Llama 3.1 Instruct 8B
100.0 value score
15.9 reasoning / $0.10/1M
Lowest Price
Llama 3.1 Instruct 8B
$0.10/1M input price
Best Reasoning
Qwen3 VL 8B Instruct
22.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 8B Instruct
7.3 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Llama 3.1 Instruct 8B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 3.1 Instruct 8B is 1.8x cheaper on input tokens than Qwen3 VL 8B Instruct.
Speed gap
Llama 3.1 Instruct 8B generates about 1.4x as many tokens per second as Qwen3 VL 8B Instruct.
Reasoning gap
Qwen3 VL 8B Instruct leads Llama 3.1 Instruct 8B by 7.0 points on reasoning.
Coding gap
Qwen3 VL 8B Instruct leads Llama 3.1 Instruct 8B by 2.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.1 Instruct 8B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 VL 8B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3.1 Instruct 8B | Top Pick Al Qwen3 VL 8B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.18/1M |
| Output Cost | $0.10/1M | $0.70/1M |
| Blended (3:1) | $0.10/1M | $0.31/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Jul 23, 2024 | Oct 14, 2025 |
| Performance & Speed | ||
| Throughput | 202.6 tok/s | 146.9 tok/s |
| TTFT | 507ms | 960ms |
| Latency | 507ms | 960ms |
| Composite Indices | ||
| Value Score | 100.0 | 46.6 |
| Reasoning Score | 15.9 | 22.9 |
| Intelligence | 11.8 | 14.3 |
| Coding | 4.9 | 7.3 |
| Math | 4.3 | 27.3 |
| Standard Benchmarks | ||
| GPQA | 25.9% | 42.7% |
| MMLU Pro | 47.6% | 68.6% |
| HLE | 5.1% | 2.9% |
| LiveCodeBench | 11.6% | 33.2% |
| MATH 500 | 51.9% | — |
| AIME 2025 | 4.3% | 27.3% |
| AIME (Original) | 7.7% | — |
| SciCode | 13.2% | 17.4% |
| LCR | 15.7% | 15.3% |
| IFBench | 28.6% | 32.3% |
| TAU-bench v2 | 16.4% | 29.2% |
| TerminalBench Hard | 0.8% | 2.3% |
Key Takeaways
Llama 3.1 Instruct 8B offers the best value at $0.10/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 8B Instruct has the strongest reasoning profile with a 22.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 8B Instruct reaches a 7.3 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
Llama 3.1 Instruct 8B
- Cost-sensitive applications
- High-volume processing
Qwen3 VL 8B Instruct
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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