Model Comparison
R1 Distill Llama 8B
vs. M2.5
Comparing 2 AI models · 12 benchmarks · DeepSeek, MiniMax
Recommended Pick
Mi M2.5 8 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
R1 Distill Llama 8B
$0.00/1M input price
Best Reasoning
M2.5
48.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.5
37.4 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 M2.5.
Reasoning gap
M2.5 leads R1 Distill Llama 8B by 13.2 points on reasoning.
Top-pick rationale
M2.5 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 Llama 8B
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M2.5
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Llama 8B | Top Pick Mi M2.5 |
|---|---|---|
| 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 | Feb 12, 2026 |
| Performance & Speed | ||
| Throughput | — | 159.8 tok/s |
| TTFT | — | 5035ms |
| Latency | — | 17548ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 35.4 | 48.6 |
| Intelligence | 12.1 | 41.9 |
| Coding | — | 37.4 |
| Math | 41.3 | — |
| Standard Benchmarks | ||
| GPQA | 30.2% | 84.8% |
| MMLU Pro | 54.3% | — |
| HLE | 4.2% | 19.1% |
| LiveCodeBench | 23.3% | — |
| MATH 500 | 85.3% | — |
| AIME 2025 | 41.3% | — |
| AIME (Original) | 33.3% | — |
| SciCode | 11.9% | 42.6% |
| LCR | 0.0% | 66.0% |
| IFBench | 17.6% | 71.6% |
| TAU-bench v2 | — | 95.3% |
| TerminalBench Hard | — | 34.8% |
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.
M2.5 has the strongest reasoning profile with a 48.6 reasoning score, combining the available reasoning-heavy benchmarks.
M2.5 reaches a 37.4 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
M2.5
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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