Model Comparison
Qwen Chat 14B
vs. Qwen3 235B A22B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen Chat 14B4 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
Qwen Chat 14B
$0.00/1M input price
Best Reasoning
Qwen3 235B A22B 2507 Instruct
59.6 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
Qwen Chat 14B is ∞x cheaper on input tokens than Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads Qwen Chat 14B by 57.5 points on reasoning.
Top-pick rationale
Qwen Chat 14B wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen Chat 14B
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
—
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 | Top Pick Al Qwen Chat 14B | Al Qwen3 235B A22B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.70/1M |
| Output Cost | $0.00/1M | $2.80/1M |
| Blended (3:1) | — | $1.22/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 25, 2023 | Jul 21, 2025 |
| Performance & Speed | ||
| Throughput | — | 65.8 tok/s |
| TTFT | — | 1201ms |
| Latency | — | 1201ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 2.1 | 59.6 |
| Intelligence | 2.1 | 18.2 |
| Math | — | 71.7 |
| Standard Benchmarks | ||
| GPQA | — | 75.3% |
| MMLU Pro | — | 82.8% |
| HLE | — | 10.6% |
| LiveCodeBench | — | 52.4% |
| MATH 500 | — | 98.0% |
| AIME 2025 | — | 71.7% |
| AIME (Original) | — | 71.7% |
| SciCode | — | 36.0% |
| LCR | — | 31.2% |
| IFBench | — | 46.1% |
| TAU-bench v2 | — | 33.3% |
| TerminalBench Hard | — | 15.2% |
Key Takeaways
Qwen Chat 14B offers the best value at $0.00/1M,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.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen Chat 14B
- Cost-sensitive applications
- High-volume processing
Qwen3 235B A22B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
