Model Comparison
R1 0528 Qwen3 8B
vs. M2.7
Comparing 2 AI models · 12 benchmarks · DeepSeek, MiniMax
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
R1 0528 Qwen3 8B
$0.00/1M input price
Best Reasoning
M2.7
55.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.7
41.9 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 0528 Qwen3 8B is ∞x cheaper on input tokens than M2.7.
Reasoning gap
M2.7 leads R1 0528 Qwen3 8B by 2.4 points on reasoning.
Coding gap
M2.7 leads R1 0528 Qwen3 8B by 34.1 points on coding.
Top-pick rationale
M2.7 wins 11 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 0528 Qwen3 8B
DeepSeek
TTFT
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Time
—
tok/s
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Tokens
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Cost
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M2.7
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | De R1 0528 Qwen3 8B | Top Pick Mi M2.7 |
|---|---|---|
| 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 | May 29, 2025 | Mar 18, 2026 |
| Performance & Speed | ||
| Throughput | — | 43.6 tok/s |
| TTFT | — | 1607ms |
| Latency | — | 58020ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 52.7 | 55.0 |
| Intelligence | 16.4 | 49.6 |
| Coding | 7.8 | 41.9 |
| Math | 63.7 | — |
| Standard Benchmarks | ||
| GPQA | 61.2% | 87.4% |
| MMLU Pro | 73.9% | — |
| HLE | 5.6% | 28.1% |
| LiveCodeBench | 51.3% | — |
| MATH 500 | 93.2% | — |
| AIME 2025 | 63.7% | — |
| AIME (Original) | 65.0% | — |
| SciCode | 20.4% | 47.0% |
| LCR | 13.0% | 68.7% |
| IFBench | 19.9% | 75.7% |
| TAU-bench v2 | 0.0% | 84.8% |
| TerminalBench Hard | 1.5% | 39.4% |
Key Takeaways
R1 0528 Qwen3 8B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
M2.7 has the strongest reasoning profile with a 55.0 reasoning score, combining the available reasoning-heavy benchmarks.
M2.7 reaches a 41.9 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 0528 Qwen3 8B
- Cost-sensitive applications
- High-volume processing
M2.7
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development