Model Comparison
Llama 3 Instruct 8B
vs. Qwen3 1.7B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Meta, Alibaba
Recommended Pick
Al Qwen3 1.7B (Reasoning) 11 metric wins Strongest on: TTFT, Latency, Reasoning
Best Value
Llama 3 Instruct 8B
100.0 value score
17.2 reasoning / $0.07/1M
Lowest Price
Llama 3 Instruct 8B
$0.04/1M input price
Best Reasoning
Qwen3 1.7B (Reasoning)
37.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3 Instruct 8B
4.0 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 Instruct 8B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 3 Instruct 8B is 2.4x cheaper on input tokens than Qwen3 1.7B (Reasoning).
Reasoning gap
Qwen3 1.7B (Reasoning) leads Llama 3 Instruct 8B by 20.1 points on reasoning.
Coding gap
Llama 3 Instruct 8B leads Qwen3 1.7B (Reasoning) by 2.6 points on coding.
Top-pick rationale
Qwen3 1.7B (Reasoning) wins 11 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3 Instruct 8B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 1.7B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3 Instruct 8B | Top Pick Al Qwen3 1.7B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | $0.11/1M |
| Output Cost | $0.14/1M | $1.26/1M |
| Blended (3:1) | $0.07/1M | $0.40/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Apr 18, 2024 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 81.5 tok/s | — |
| TTFT | 483ms | — |
| Latency | 483ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 38.2 |
| Reasoning Score | 17.2 | 37.3 |
| Intelligence | 1.2 | 2.6 |
| Coding | 4.0 | 1.4 |
| Math | — | 38.7 |
| Standard Benchmarks | ||
| GPQA | 29.6% | 35.6% |
| MMLU Pro | 40.5% | 57.0% |
| HLE | 5.1% | 4.8% |
| LiveCodeBench | 9.6% | 30.8% |
| MATH 500 | 49.9% | 89.4% |
| AIME 2025 | — | 38.7% |
| AIME (Original) | 0.0% | 51.0% |
| SciCode | 11.9% | 4.3% |
| LCR | 0.0% | 0.0% |
| IFBench | 24.6% | 26.9% |
| TAU-bench v2 | 0.0% | 26.0% |
| TerminalBench Hard | 0.0% | 0.0% |
Key Takeaways
Llama 3 Instruct 8B offers the best value at $0.04/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 1.7B (Reasoning) has the strongest reasoning profile with a 37.3 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3 Instruct 8B reaches a 4.0 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 Instruct 8B
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen3 1.7B (Reasoning)
- Complex reasoning tasks
- Research & analysis
