Model Comparison
R1 Distill Llama 8B
vs. M2.1
Comparing 2 AI models · 12 benchmarks · DeepSeek, MiniMax
Recommended Pick
Mi M2.1 12 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
R1 Distill Llama 8B
$0.00/1M input price
Best Reasoning
M2.1
62.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.1
32.8 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 Llama 8B is ∞x cheaper on input tokens than M2.1.
Reasoning gap
M2.1 leads R1 Distill Llama 8B by 26.6 points on reasoning.
Top-pick rationale
M2.1 wins 12 measurable categories, including Throughput, Reasoning, Intelligence, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 Distill Llama 8B
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M2.1
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Llama 8B | Top Pick Mi M2.1 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.30/1M |
| Output Cost | $0.00/1M | $1.20/1M |
| Blended (3:1) | — | $0.52/1M |
| Specifications | ||
| Organization | DeepSeek | MiniMax |
| Release Date | Jan 20, 2025 | Dec 23, 2025 |
| Performance & Speed | ||
| Throughput | — | 189.0 tok/s |
| TTFT | — | 6637ms |
| Latency | — | 17221ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 35.4 | 62.0 |
| Intelligence | 12.1 | 39.4 |
| Coding | — | 32.8 |
| Math | 41.3 | 82.7 |
| Standard Benchmarks | ||
| GPQA | 30.2% | 83.0% |
| MMLU Pro | 54.3% | 87.5% |
| HLE | 4.2% | 22.2% |
| LiveCodeBench | 23.3% | 81.0% |
| MATH 500 | 85.3% | — |
| AIME 2025 | 41.3% | 82.7% |
| AIME (Original) | 33.3% | — |
| SciCode | 11.9% | 40.7% |
| LCR | 0.0% | 59.0% |
| IFBench | 17.6% | 69.9% |
| TAU-bench v2 | — | 85.4% |
| TerminalBench Hard | — | 28.8% |
Key Takeaways
R1 Distill Llama 8B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
M2.1 has the strongest reasoning profile with a 62.0 reasoning score, combining the available reasoning-heavy benchmarks.
M2.1 reaches a 32.8 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 8B
- Cost-sensitive applications
- High-volume processing
M2.1
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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