Model Comparison
Qwen3 14B (Reasoning)
vs. Tiny Aya Global
Comparing 2 AI models · 12 benchmarks · Alibaba, Cohere
Recommended Pick
AlQwen3 14B (Reasoning)7 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Tiny Aya Global
$0.00/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
51.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.8 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
Tiny Aya Global is ∞x cheaper on input tokens than Qwen3 14B (Reasoning).
Speed gap
Tiny Aya Global generates about 2.1x as many tokens per second as Qwen3 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads Tiny Aya Global by 39.0 points on reasoning.
Top-pick rationale
Qwen3 14B (Reasoning) wins 7 measurable categories, including Reasoning, Intelligence, GPQA, SciCode.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 14B (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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Tiny Aya Global
Cohere
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 | Top Pick Al Qwen3 14B (Reasoning) | Co Tiny Aya Global |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.00/1M |
| Output Cost | $4.20/1M | $0.00/1M |
| Blended (3:1) | $1.31/1M | — |
| Specifications | ||
| Organization | Alibaba | Cohere |
| Release Date | Apr 28, 2025 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | 63.9 tok/s | 136.5 tok/s |
| TTFT | 1133ms | 308ms |
| Latency | 32440ms | 308ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 51.3 | 12.2 |
| Intelligence | 10.4 | 1.0 |
| Coding | 13.8 | — |
| Math | 55.7 | — |
| Standard Benchmarks | ||
| GPQA | 60.4% | 30.5% |
| MMLU Pro | 77.4% | — |
| HLE | 4.3% | 5.2% |
| LiveCodeBench | 52.3% | — |
| MATH 500 | 96.1% | — |
| AIME 2025 | 55.7% | — |
| AIME (Original) | 76.3% | — |
| SciCode | 31.6% | 3.6% |
| LCR | 0.0% | 0.0% |
| IFBench | 40.5% | 20.1% |
| TAU-bench v2 | 34.5% | 0.0% |
| TerminalBench Hard | 3.8% | 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.
Qwen3 14B (Reasoning) has the strongest reasoning profile with a 51.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.8 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
Qwen3 14B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Tiny Aya Global
- Cost-sensitive applications
- High-volume processing
