Model Comparison
Qwen2.5 Turbo
vs. Qwen3 30B A3B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 30B A3B 2507 Instruct12 metric winsStrongest on: Throughput, TTFT, Latency
Best Value
Qwen2.5 Turbo
100.0 value score
28.8 reasoning / $0.09/1M
Lowest Price
Qwen2.5 Turbo
$0.05/1M 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
Best value
Qwen2.5 Turbo has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen2.5 Turbo is 4.0x cheaper on input tokens than Qwen3 30B A3B 2507 Instruct.
Speed gap
Qwen3 30B A3B 2507 Instruct generates about 1.4x as many tokens per second as Qwen2.5 Turbo.
Reasoning gap
Qwen3 30B A3B 2507 Instruct leads Qwen2.5 Turbo by 26.1 points on reasoning.
Top-pick rationale
Qwen3 30B A3B 2507 Instruct wins 12 measurable categories, including Throughput, TTFT, Latency, Reasoning.
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
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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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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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen2.5 Turbo | Top Pick Al Qwen3 30B A3B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.05/1M | $0.20/1M |
| Output Cost | $0.20/1M | $0.80/1M |
| Blended (3:1) | $0.09/1M | $0.35/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Nov 18, 2024 | Jul 29, 2025 |
| Performance & Speed | ||
| Throughput | 114.7 tok/s | 160.8 tok/s |
| TTFT | 1102ms | 976ms |
| Latency | 1102ms | 976ms |
| Composite Indices | ||
| Value Score | 100.0 | 47.7 |
| Reasoning Score | 28.8 | 54.9 |
| Intelligence | 6.3 | 9.1 |
| Math | — | 66.3 |
| Standard Benchmarks | ||
| GPQA | 41.0% | 65.9% |
| MMLU Pro | 63.3% | 77.7% |
| HLE | 4.2% | 6.8% |
| LiveCodeBench | 16.3% | 51.5% |
| MATH 500 | 80.5% | 97.5% |
| AIME 2025 | — | 66.3% |
| AIME (Original) | 12.0% | 72.7% |
| SciCode | 15.3% | 30.4% |
| LCR | — | 22.7% |
| IFBench | — | 33.1% |
| TAU-bench v2 | — | 10.2% |
| TerminalBench Hard | — | 6.1% |
Key Takeaways
Qwen2.5 Turbo offers the best value at $0.05/1M,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
Qwen2.5 Turbo
- Cost-sensitive applications
- High-volume processing
Qwen3 30B A3B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
