Model Comparison
Qwen3 30B A3B 2507 Instruct
vs. Tiny Aya Global
Comparing 2 AI models · 12 benchmarks · Alibaba, Cohere
Recommended Pick
AlQwen3 30B A3B 2507 Instruct10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Tiny Aya Global
$0.00/1M input price
Best Reasoning
Qwen3 30B A3B 2507 Instruct
54.9 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 Qwen3 30B A3B 2507 Instruct.
Speed gap
Qwen3 30B A3B 2507 Instruct generates about 1.2x as many tokens per second as Tiny Aya Global.
Reasoning gap
Qwen3 30B A3B 2507 Instruct leads Tiny Aya Global by 42.7 points on reasoning.
Top-pick rationale
Qwen3 30B A3B 2507 Instruct wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 30B A3B 2507 Instruct
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
—
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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Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Al Qwen3 30B A3B 2507 Instruct | Co Tiny Aya Global |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.00/1M |
| Output Cost | $0.80/1M | $0.00/1M |
| Blended (3:1) | $0.35/1M | — |
| Specifications | ||
| Organization | Alibaba | Cohere |
| Release Date | Jul 29, 2025 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | 160.7 tok/s | 134.5 tok/s |
| TTFT | 967ms | 292ms |
| Latency | 967ms | 292ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 54.9 | 12.2 |
| Intelligence | 9.1 | 1.0 |
| Math | 66.3 | — |
| Standard Benchmarks | ||
| GPQA | 65.9% | 30.5% |
| MMLU Pro | 77.7% | — |
| HLE | 6.8% | 5.2% |
| LiveCodeBench | 51.5% | — |
| MATH 500 | 97.5% | — |
| AIME 2025 | 66.3% | — |
| AIME (Original) | 72.7% | — |
| SciCode | 30.4% | 3.6% |
| LCR | 22.7% | 0.0% |
| IFBench | 33.1% | 20.1% |
| TAU-bench v2 | 10.2% | 0.0% |
| TerminalBench Hard | 6.1% | 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 30B A3B 2507 Instruct has the strongest reasoning profile with a 54.9 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 30B A3B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
Tiny Aya Global
- Cost-sensitive applications
- High-volume processing
