Model Comparison
PALM-2
vs. Qwen3.6 35B A3B (Reasoning)
Comparing 2 AI models · 7 benchmarks · Google, Alibaba
Recommended Pick
AlQwen3.6 35B A3B (Reasoning)4 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
PALM-2
$0.00/1M input price
Best Reasoning
Qwen3.6 35B A3B (Reasoning)
45.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 35B A3B (Reasoning)
41.9 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 Qwen3.6 35B A3B (Reasoning).
Reasoning gap
Qwen3.6 35B A3B (Reasoning) leads PALM-2 by 42.1 points on reasoning.
Coding gap
Qwen3.6 35B A3B (Reasoning) leads PALM-2 by 37.3 points on coding.
Top-pick rationale
Qwen3.6 35B A3B (Reasoning) wins 4 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
PALM-2
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3.6 35B A3B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Go PALM-2 | Top Pick 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 | Alibaba | |
| Release Date | May 10, 2023 | Apr 16, 2026 |
| Performance & Speed | ||
| Throughput | — | 123.3 tok/s |
| TTFT | — | 1287ms |
| Latency | — | 45058ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 3.2 | 45.3 |
| Intelligence | 3.2 | 31.6 |
| Coding | 4.6 | 41.9 |
| 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
PALM-2 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 45.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.6 35B A3B (Reasoning) reaches a 41.9 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
Qwen3.6 35B A3B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
