Model Comparison
Qwen2.5 Turbo
vs. Tiny Aya Global
Comparing 2 AI models · 11 benchmarks · Alibaba, Cohere
Recommended Pick
CoTiny Aya Global6 metric winsStrongest on: Input price, Output price, Throughput
Lowest Price
Tiny Aya Global
$0.00/1M input price
Best Reasoning
Qwen2.5 Turbo
28.8 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
Tiny Aya Global is ∞x cheaper on input tokens than Qwen2.5 Turbo.
Speed gap
Tiny Aya Global generates about 1.2x as many tokens per second as Qwen2.5 Turbo.
Reasoning gap
Qwen2.5 Turbo leads Tiny Aya Global by 16.6 points on reasoning.
Top-pick rationale
Tiny Aya Global wins 6 measurable categories, including Input price, Output price, Throughput, TTFT.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Turbo
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Tiny Aya Global
Cohere
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Qwen2.5 Turbo | Top Pick Co Tiny Aya Global |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.05/1M | $0.00/1M |
| Output Cost | $0.20/1M | $0.00/1M |
| Blended (3:1) | $0.09/1M | — |
| Specifications | ||
| Organization | Alibaba | Cohere |
| Release Date | Nov 18, 2024 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | 115.7 tok/s | 136.5 tok/s |
| TTFT | 1029ms | 324ms |
| Latency | 1029ms | 324ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 28.8 | 12.2 |
| Intelligence | 6.3 | 1.0 |
| Standard Benchmarks | ||
| GPQA | 41.0% | 30.5% |
| MMLU Pro | 63.3% | — |
| HLE | 4.2% | 5.2% |
| LiveCodeBench | 16.3% | — |
| MATH 500 | 80.5% | — |
| AIME (Original) | 12.0% | — |
| SciCode | 15.3% | 3.6% |
| LCR | — | 0.0% |
| IFBench | — | 20.1% |
| TAU-bench v2 | — | 0.0% |
| TerminalBench Hard | — | 0.0% |
Key Takeaways
Tiny Aya Global 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.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen2.5 Turbo
- Complex reasoning tasks
- Research & analysis
Tiny Aya Global
- Cost-sensitive applications
- High-volume processing
