Model Comparison
PALM-2
vs. Qwen2.5 Turbo
Comparing 2 AI models · 7 benchmarks · Google, Alibaba
Recommended Pick
GoPALM-24 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
PALM-2
$0.00/1M input price
Best Reasoning
Qwen2.5 Turbo
28.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
PALM-2
4.6 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
PALM-2 is ∞x cheaper on input tokens than Qwen2.5 Turbo.
Reasoning gap
Qwen2.5 Turbo leads PALM-2 by 25.6 points on reasoning.
Top-pick rationale
PALM-2 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.
PALM-2
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Turbo
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go PALM-2 | Al Qwen2.5 Turbo |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.05/1M |
| Output Cost | $0.00/1M | $0.20/1M |
| Blended (3:1) | — | $0.09/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | May 10, 2023 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | — | 112.3 tok/s |
| TTFT | — | 1062ms |
| Latency | — | 1062ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 3.2 | 28.8 |
| Intelligence | 3.2 | 6.3 |
| Coding | 4.6 | — |
| Standard Benchmarks | ||
| GPQA | — | 41.0% |
| MMLU Pro | — | 63.3% |
| HLE | — | 4.2% |
| LiveCodeBench | — | 16.3% |
| MATH 500 | — | 80.5% |
| AIME (Original) | — | 12.0% |
| SciCode | — | 15.3% |
Key Takeaways
PALM-2 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Turbo has the strongest reasoning profile with a 28.8 reasoning score,combining the available reasoning-heavy benchmarks.
PALM-2 reaches a 4.6 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
PALM-2
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen2.5 Turbo
- Complex reasoning tasks
- Research & analysis
