Model Comparison
R1 Distill Llama 70B
vs. Gemini 2.0 Flash (Feb '25)
Comparing 2 AI models · 12 benchmarks · DeepSeek, Google
Recommended Pick
Go Gemini 2.0 Flash (Feb '25) 15 metric wins Strongest on: Value, Input price, Output price
Best Value
Gemini 2.0 Flash (Feb '25)
100.0 value score
36.5 reasoning / $0.26/1M
Lowest Price
Gemini 2.0 Flash (Feb '25)
$0.15/1M input price
Best Reasoning
R1 Distill Llama 70B
47.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 2.0 Flash (Feb '25)
13.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemini 2.0 Flash (Feb '25) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 2.0 Flash (Feb '25) is 4.7x cheaper on input tokens than R1 Distill Llama 70B.
Reasoning gap
R1 Distill Llama 70B leads Gemini 2.0 Flash (Feb '25) by 10.7 points on reasoning.
Coding gap
Gemini 2.0 Flash (Feb '25) leads R1 Distill Llama 70B by 2.2 points on coding.
Top-pick rationale
Gemini 2.0 Flash (Feb '25) wins 15 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 Distill Llama 70B
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 2.0 Flash (Feb '25)
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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Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Llama 70B | Top Pick Go Gemini 2.0 Flash (Feb '25) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.15/1M |
| Output Cost | $1.05/1M | $0.60/1M |
| Blended (3:1) | $0.79/1M | $0.26/1M |
| Specifications | ||
| Organization | DeepSeek | |
| Release Date | Jan 20, 2025 | Feb 5, 2025 |
| Performance & Speed | ||
| Throughput | 45.5 tok/s | — |
| TTFT | 415ms | — |
| Latency | 44390ms | — |
| Composite Indices | ||
| Value Score | 43.1 | 100.0 |
| Reasoning Score | 47.2 | 36.5 |
| Intelligence | 16.0 | 18.5 |
| Coding | 11.4 | 13.6 |
| Math | 53.7 | 21.7 |
| Standard Benchmarks | ||
| GPQA | 40.2% | 62.3% |
| MMLU Pro | 79.5% | 77.9% |
| HLE | 6.1% | 5.3% |
| LiveCodeBench | 26.6% | 33.4% |
| MATH 500 | 93.5% | 93.0% |
| AIME 2025 | 53.7% | 21.7% |
| AIME (Original) | 67.0% | 33.0% |
| SciCode | 31.3% | 33.3% |
| LCR | 11.0% | 28.3% |
| IFBench | 27.6% | 40.2% |
| TAU-bench v2 | 21.9% | 29.5% |
| TerminalBench Hard | 1.5% | 3.8% |
Key Takeaways
Gemini 2.0 Flash (Feb '25) offers the best value at $0.15/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 Distill Llama 70B has the strongest reasoning profile with a 47.2 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 2.0 Flash (Feb '25) reaches a 13.6 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 Llama 70B
- Complex reasoning tasks
- Research & analysis
Gemini 2.0 Flash (Feb '25)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
