Model Comparison
Qwen3 VL 4B Instruct
vs. Tiny Aya Global
Comparing 2 AI models · 10 benchmarks · Alibaba, Cohere
Recommended Pick
Al Qwen3 VL 4B Instruct 10 metric wins Strongest on: TTFT, Latency, Reasoning
Lowest Price
Qwen3 VL 4B Instruct
$0.00/1M input price
Best Reasoning
Qwen3 VL 4B Instruct
24.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 4B Instruct
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
Reasoning gap
Qwen3 VL 4B Instruct leads Tiny Aya Global by 11.4 points on reasoning.
Coding gap
Qwen3 VL 4B Instruct leads Tiny Aya Global by 3.4 points on coding.
Top-pick rationale
Qwen3 VL 4B Instruct wins 10 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 VL 4B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Tiny Aya Global
Cohere
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 VL 4B Instruct | 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 | Oct 14, 2025 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | — | 125.2 tok/s |
| TTFT | — | 340ms |
| Latency | — | 340ms |
| Composite Indices | ||
| Reasoning Score | 24.9 | 13.5 |
| Intelligence | 9.6 | 4.7 |
| Coding | 4.6 | 1.2 |
| Math | 37.0 | — |
| Standard Benchmarks | ||
| GPQA | 37.1% | 30.5% |
| MMLU Pro | 63.4% | — |
| HLE | 3.7% | 5.2% |
| LiveCodeBench | 29.0% | — |
| AIME 2025 | 37.0% | — |
| SciCode | 13.7% | 3.6% |
| LCR | 13.0% | 0.0% |
| IFBench | 31.8% | 20.1% |
| TAU-bench v2 | 23.4% | 0.0% |
| TerminalBench Hard | 0.0% | 0.0% |
Key Takeaways
Qwen3 VL 4B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 4B Instruct has the strongest reasoning profile with a 24.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 VL 4B Instruct 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
Qwen3 VL 4B Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Tiny Aya Global
- General-purpose AI
- Versatile applications
