Model Comparison
Llama 65B
vs. Qwen3.6 35B A3B (Reasoning)
Comparing 2 AI models · 7 benchmarks · Meta, Alibaba
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
Llama 65B
$0.00/1M input price
Best Reasoning
Qwen3.6 35B A3B (Reasoning)
49.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 35B A3B (Reasoning)
35.2 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 65B is ∞x cheaper on input tokens than Qwen3.6 35B A3B (Reasoning).
Reasoning gap
Qwen3.6 35B A3B (Reasoning) leads Llama 65B by 41.9 points on reasoning.
Top-pick rationale
Llama 65B wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 65B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.6 35B A3B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Me Llama 65B | Al Qwen3.6 35B A3B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.25/1M |
| Output Cost | $0.00/1M | $1.49/1M |
| Blended (3:1) | — | $0.56/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Feb 24, 2023 | Apr 16, 2026 |
| Performance & Speed | ||
| Throughput | — | 166.6 tok/s |
| TTFT | — | 1361ms |
| Latency | — | 33737ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 7.4 | 49.3 |
| Intelligence | 7.4 | 43.5 |
| Coding | — | 35.2 |
| Standard Benchmarks | ||
| GPQA | — | 84.1% |
| HLE | — | 20.2% |
| SciCode | — | 35.8% |
| LCR | — | 63.7% |
| IFBench | — | 64.4% |
| TAU-bench v2 | — | 95.3% |
| TerminalBench Hard | — | 34.8% |
Key Takeaways
Llama 65B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 35B A3B (Reasoning) has the strongest reasoning profile with a 49.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 35B A3B (Reasoning) reaches a 35.2 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 65B
- Cost-sensitive applications
- High-volume processing
Qwen3.6 35B A3B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development