Model Comparison
R1 Distill Qwen 14B
vs. Qwen3 235B A22B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · DeepSeek, Alibaba
Recommended Pick
De R1 Distill Qwen 14B 11 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
R1 Distill Qwen 14B
$0.00/1M input price
Best Reasoning
R1 Distill Qwen 14B
48.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 235B A22B (Non-reasoning)
14.0 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
R1 Distill Qwen 14B is ∞x cheaper on input tokens than Qwen3 235B A22B (Non-reasoning).
Reasoning gap
R1 Distill Qwen 14B leads Qwen3 235B A22B (Non-reasoning) by 12.6 points on reasoning.
Top-pick rationale
R1 Distill Qwen 14B wins 11 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.
R1 Distill Qwen 14B
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 235B A22B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De R1 Distill Qwen 14B | Al Qwen3 235B A22B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.45/1M |
| Output Cost | $0.00/1M | $1.80/1M |
| Blended (3:1) | — | $0.79/1M |
| Specifications | ||
| Organization | DeepSeek | Alibaba |
| Release Date | Jan 20, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | 68.6 tok/s |
| TTFT | — | 1167ms |
| Latency | — | 1167ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 48.8 | 36.2 |
| Intelligence | 15.8 | 17.0 |
| Coding | — | 14.0 |
| Math | 55.7 | 23.7 |
| Standard Benchmarks | ||
| GPQA | 48.4% | 61.3% |
| MMLU Pro | 74.0% | 76.2% |
| HLE | 4.4% | 4.7% |
| LiveCodeBench | 37.6% | 34.3% |
| MATH 500 | 94.9% | 90.2% |
| AIME 2025 | 55.7% | 23.7% |
| AIME (Original) | 66.7% | 32.7% |
| SciCode | 23.9% | 29.9% |
| LCR | 7.0% | 0.0% |
| IFBench | 22.1% | 36.6% |
| TAU-bench v2 | — | 27.2% |
| TerminalBench Hard | — | 6.1% |
Key Takeaways
R1 Distill Qwen 14B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 Distill Qwen 14B has the strongest reasoning profile with a 48.8 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 235B A22B (Non-reasoning) reaches a 14.0 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
R1 Distill Qwen 14B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3 235B A22B (Non-reasoning)
- Code generation
- Software development
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