Model Comparison
Qwen3 14B (Reasoning)
vs. Qwen3 235B A22B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 235B A22B 2507 Instruct18 metric winsStrongest on: Value, Output price, Blended price
Best Value
Qwen3 235B A22B 2507 Instruct
100.0 value score
59.6 reasoning / $1.22/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.35/1M input price
Best Reasoning
Qwen3 235B A22B 2507 Instruct
59.6 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 235B A22B 2507 Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Reasoning) is 2.0x cheaper on input tokens than Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads Qwen3 14B (Reasoning) by 8.3 points on reasoning.
Top-pick rationale
Qwen3 235B A22B 2507 Instruct wins 18 measurable categories, including Value, Output price, Blended price, Throughput.
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 235B A22B 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 Qwen3 14B (Reasoning) | Top Pick Al Qwen3 235B A22B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.70/1M |
| Output Cost | $4.20/1M | $2.80/1M |
| Blended (3:1) | $1.31/1M | $1.22/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Jul 21, 2025 |
| Performance & Speed | ||
| Throughput | 64.9 tok/s | 65.8 tok/s |
| TTFT | 1157ms | 1201ms |
| Latency | 31988ms | 1201ms |
| Composite Indices | ||
| Value Score | 80.3 | 100.0 |
| Reasoning Score | 51.3 | 59.6 |
| Intelligence | 10.4 | 18.2 |
| Coding | 13.8 | — |
| Math | 55.7 | 71.7 |
| Standard Benchmarks | ||
| GPQA | 60.4% | 75.3% |
| MMLU Pro | 77.4% | 82.8% |
| HLE | 4.3% | 10.6% |
| LiveCodeBench | 52.3% | 52.4% |
| MATH 500 | 96.1% | 98.0% |
| AIME 2025 | 55.7% | 71.7% |
| AIME (Original) | 76.3% | 71.7% |
| SciCode | 31.6% | 36.0% |
| LCR | 0.0% | 31.2% |
| IFBench | 40.5% | 46.1% |
| TAU-bench v2 | 34.5% | 33.3% |
| TerminalBench Hard | 3.8% | 15.2% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.35/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 235B A22B 2507 Instruct has the strongest reasoning profile with a 59.6 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)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen3 235B A22B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
