Model Comparison
R1 Distill Qwen 1.5B
vs. Gemini 1.5 Flash-8B
Comparing 2 AI models · 10 benchmarks · DeepSeek, Google
Recommended Pick
Go Gemini 1.5 Flash-8B 8 metric wins Strongest on: Reasoning, Intelligence, GPQA
Lowest Price
R1 Distill Qwen 1.5B
$0.00/1M input price
Best Reasoning
Gemini 1.5 Flash-8B
24.8 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
Reasoning gap
Gemini 1.5 Flash-8B leads R1 Distill Qwen 1.5B by 3.0 points on reasoning.
Top-pick rationale
Gemini 1.5 Flash-8B wins 8 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 Distill Qwen 1.5B
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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Gemini 1.5 Flash-8B
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Qwen 1.5B | Top Pick Go Gemini 1.5 Flash-8B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | DeepSeek | |
| Release Date | Jan 20, 2025 | Oct 3, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 21.8 | 24.8 |
| Intelligence | 9.1 | 11.1 |
| Math | 22.0 | — |
| Standard Benchmarks | ||
| GPQA | 9.8% | 35.9% |
| MMLU Pro | 26.9% | 56.9% |
| HLE | 3.3% | 4.5% |
| LiveCodeBench | 7.0% | 21.7% |
| MATH 500 | 68.7% | 68.9% |
| AIME 2025 | 22.0% | — |
| AIME (Original) | 17.7% | 3.3% |
| SciCode | 6.6% | 22.9% |
| LCR | 0.3% | — |
| IFBench | 13.2% | — |
Key Takeaways
R1 Distill Qwen 1.5B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 1.5 Flash-8B has the strongest reasoning profile with a 24.8 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
R1 Distill Qwen 1.5B
- Cost-sensitive applications
- High-volume processing
Gemini 1.5 Flash-8B
- Complex reasoning tasks
- Research & analysis
