Model Comparison
R1 Distill Qwen 14B
vs. V3 0324
Comparing 2 AI models · 12 benchmarks · DeepSeek
Recommended Pick
Strongest on: Intelligence, GPQA, MMLU Pro
Lowest Price
R1 Distill Qwen 14B
$0.00/1M input price
Best Reasoning
R1 Distill Qwen 14B
47.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
V3 0324
22.0 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 V3 0324.
Reasoning gap
R1 Distill Qwen 14B leads V3 0324 by 3.0 points on reasoning.
Top-pick rationale
V3 0324 wins 8 measurable categories, including Intelligence, GPQA, MMLU Pro, HLE.
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
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Time
—
tok/s
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Tokens
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Cost
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V3 0324
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Qwen 14B | Top Pick De V3 0324 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.20/1M |
| Output Cost | $0.00/1M | $1.25/1M |
| Blended (3:1) | — | $1.21/1M |
| Specifications | ||
| Organization | DeepSeek | DeepSeek |
| Release Date | Jan 20, 2025 | Mar 25, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 47.9 | 44.9 |
| Intelligence | 9.8 | 15.7 |
| Coding | — | 22.0 |
| Math | 55.7 | 41.0 |
| Standard Benchmarks | ||
| GPQA | 48.4% | 65.5% |
| MMLU Pro | 74.0% | 81.9% |
| HLE | 4.4% | 5.2% |
| LiveCodeBench | 37.6% | 40.5% |
| MATH 500 | 94.9% | 94.2% |
| AIME 2025 | 55.7% | 41.0% |
| AIME (Original) | 66.7% | 52.0% |
| SciCode | 23.9% | 35.8% |
| LCR | 7.0% | 41.0% |
| IFBench | 22.1% | 41.0% |
| TAU-bench v2 | — | 47.1% |
| TerminalBench Hard | — | 15.2% |
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 47.9 reasoning score, combining the available reasoning-heavy benchmarks.
V3 0324 reaches a 22.0 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
V3 0324
- Code generation
- Software development