Model Comparison
R1 Distill Qwen 14B
vs. V4 Flash (Reasoning, Max Effort)
Comparing 2 AI models · 12 benchmarks · DeepSeek
Recommended Pick
De V4 Flash (Reasoning, Max Effort) 8 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
R1 Distill Qwen 14B
$0.00/1M input price
Best Reasoning
V4 Flash (Reasoning, Max Effort)
53.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
V4 Flash (Reasoning, Max Effort)
56.2 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 V4 Flash (Reasoning, Max Effort).
Reasoning gap
V4 Flash (Reasoning, Max Effort) leads R1 Distill Qwen 14B by 6.0 points on reasoning.
Top-pick rationale
V4 Flash (Reasoning, Max Effort) wins 8 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
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
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tok/s
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Tokens
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Cost
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V4 Flash (Reasoning, Max Effort)
DeepSeek
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?
Full Comparison
| Metric | De R1 Distill Qwen 14B | Top Pick De V4 Flash (Reasoning, Max Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.14/1M |
| Output Cost | $0.00/1M | $0.28/1M |
| Blended (3:1) | — | $0.18/1M |
| Specifications | ||
| Organization | DeepSeek | DeepSeek |
| Release Date | Jan 20, 2025 | Apr 24, 2026 |
| Performance & Speed | ||
| Throughput | — | 110.5 tok/s |
| TTFT | — | 1080ms |
| Latency | — | 51867ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 47.9 | 53.9 |
| Intelligence | 9.8 | 40.3 |
| Coding | — | 56.2 |
| Math | 55.7 | — |
| Standard Benchmarks | ||
| GPQA | 48.4% | 89.4% |
| MMLU Pro | 74.0% | — |
| HLE | 4.4% | 32.1% |
| LiveCodeBench | 37.6% | — |
| MATH 500 | 94.9% | — |
| AIME 2025 | 55.7% | — |
| AIME (Original) | 66.7% | — |
| SciCode | 23.9% | 44.9% |
| LCR | 7.0% | 63.0% |
| IFBench | 22.1% | 79.2% |
| TAU-bench v2 | — | 95.0% |
| TerminalBench Hard | — | 35.6% |
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.
V4 Flash (Reasoning, Max Effort) has the strongest reasoning profile with a 53.9 reasoning score, combining the available reasoning-heavy benchmarks.
V4 Flash (Reasoning, Max Effort) reaches a 56.2 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
V4 Flash (Reasoning, Max Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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