Model Comparison
Qwen2 Instruct 72B
vs. Solar Mini
Comparing 2 AI models · 8 benchmarks · Alibaba, Upstage
Recommended Pick
AlQwen2 Instruct 72B6 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
Qwen2 Instruct 72B
$0.00/1M input price
Best Reasoning
Qwen2 Instruct 72B
26.3 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
Price gap
Qwen2 Instruct 72B is ∞x cheaper on input tokens than Solar Mini.
Reasoning gap
Qwen2 Instruct 72B leads Solar Mini by 6.7 points on reasoning.
Top-pick rationale
Qwen2 Instruct 72B wins 6 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.
Qwen2 Instruct 72B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Solar Mini
Upstage
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen2 Instruct 72B | Up Solar Mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.15/1M |
| Output Cost | $0.00/1M | $0.15/1M |
| Blended (3:1) | — | $0.15/1M |
| Specifications | ||
| Organization | Alibaba | Upstage |
| Release Date | Jun 7, 2024 | Jan 25, 2024 |
| Performance & Speed | ||
| Throughput | — | 76.6 tok/s |
| TTFT | — | 813ms |
| Latency | — | 813ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 26.3 | 19.7 |
| Intelligence | 6.0 | 6.2 |
| Standard Benchmarks | ||
| GPQA | 37.1% | — |
| MMLU Pro | 62.2% | — |
| HLE | 3.7% | — |
| LiveCodeBench | 15.9% | — |
| MATH 500 | 70.1% | 33.1% |
| AIME (Original) | 14.7% | — |
| SciCode | 22.9% | — |
| TAU-bench v2 | — | 20.2% |
Key Takeaways
Qwen2 Instruct 72B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2 Instruct 72B has the strongest reasoning profile with a 26.3 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
Qwen2 Instruct 72B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Solar Mini
- General-purpose AI
- Versatile applications
