Model Comparison
Qwen3 4B (Reasoning)
vs. Tiny Aya Global
Comparing 2 AI models · 12 benchmarks · Alibaba, Cohere
Recommended Pick
AlQwen3 4B (Reasoning)7 metric winsStrongest on: TTFT, Latency, Reasoning
Lowest Price
Qwen3 4B (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 4B (Reasoning)
38.5 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
Reasoning gap
Qwen3 4B (Reasoning) leads Tiny Aya Global by 26.2 points on reasoning.
Top-pick rationale
Qwen3 4B (Reasoning) wins 7 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B (Reasoning)
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 | Top Pick Al Qwen3 4B (Reasoning) | Co Tiny Aya Global |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Cohere |
| Release Date | Apr 28, 2025 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | — | 136.6 tok/s |
| TTFT | — | 345ms |
| Latency | — | 345ms |
| Composite Indices | ||
| Reasoning Score | 38.5 | 12.2 |
| Intelligence | 8.4 | 1.0 |
| Math | 22.3 | — |
| Standard Benchmarks | ||
| GPQA | 52.2% | 30.5% |
| MMLU Pro | 69.6% | — |
| HLE | 5.1% | 5.2% |
| LiveCodeBench | 46.5% | — |
| MATH 500 | 93.3% | — |
| AIME 2025 | 22.3% | — |
| AIME (Original) | 65.7% | — |
| SciCode | 3.5% | 3.6% |
| LCR | 0.0% | 0.0% |
| IFBench | 32.5% | 20.1% |
| TAU-bench v2 | 19.0% | 0.0% |
| TerminalBench Hard | — | 0.0% |
Key Takeaways
Qwen3 4B (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 4B (Reasoning) has the strongest reasoning profile with a 38.5 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
Qwen3 4B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Tiny Aya Global
- General-purpose AI
- Versatile applications
