Model Comparison
Qwen3 14B (Reasoning)
vs. Qwen3.5 Omni Flash
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 Omni Flash13 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 Omni Flash
100.0 value score
33.4 reasoning / $0.28/1M
Lowest Price
Qwen3.5 Omni Flash
$0.10/1M 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
Best value
Qwen3.5 Omni Flash has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 Omni Flash is 3.5x cheaper on input tokens than Qwen3 14B (Reasoning).
Speed gap
Qwen3.5 Omni Flash generates about 3.8x as many tokens per second as Qwen3 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads Qwen3.5 Omni Flash by 17.8 points on reasoning.
Top-pick rationale
Qwen3.5 Omni Flash wins 13 measurable categories, including Value, Input price, Output price, Blended price.
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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Qwen3.5 Omni Flash
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 Qwen3 14B (Reasoning) | Top Pick Al Qwen3.5 Omni Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.10/1M |
| Output Cost | $4.20/1M | $0.80/1M |
| Blended (3:1) | $1.31/1M | $0.28/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Mar 30, 2026 |
| Performance & Speed | ||
| Throughput | 64.9 tok/s | 245.1 tok/s |
| TTFT | 1157ms | 1068ms |
| Latency | 31988ms | 1068ms |
| Composite Indices | ||
| Value Score | 32.1 | 100.0 |
| Reasoning Score | 51.3 | 33.4 |
| Intelligence | 10.4 | 19.0 |
| Coding | 13.8 | — |
| Math | 55.7 | — |
| Standard Benchmarks | ||
| GPQA | 60.4% | 74.2% |
| MMLU Pro | 77.4% | — |
| HLE | 4.3% | 7.1% |
| LiveCodeBench | 52.3% | — |
| MATH 500 | 96.1% | — |
| AIME 2025 | 55.7% | — |
| AIME (Original) | 76.3% | — |
| SciCode | 31.6% | 25.5% |
| LCR | 0.0% | 44.0% |
| IFBench | 40.5% | 38.0% |
| TAU-bench v2 | 34.5% | 84.5% |
| TerminalBench Hard | 3.8% | 8.3% |
Key Takeaways
Qwen3.5 Omni Flash offers the best value at $0.10/1M,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
Qwen3.5 Omni Flash
- Cost-sensitive applications
- High-volume processing
