Model Comparison
MiMo-V2-Omni-0327
vs. Qwen3.6 Max Preview
Comparing 2 AI models · 7 benchmarks · Xiaomi, Alibaba
Recommended Pick
Al Qwen3.6 Max Preview 11 metric wins Strongest on: TTFT, Reasoning, Intelligence
Best Value
MiMo-V2-Omni-0327
100.0 value score
50.3 reasoning / $0.80/1M
Lowest Price
MiMo-V2-Omni-0327
$0.40/1M input price
Best Reasoning
Qwen3.6 Max Preview
56.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 Max Preview
44.9 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
MiMo-V2-Omni-0327 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
MiMo-V2-Omni-0327 is 3.3x cheaper on input tokens than Qwen3.6 Max Preview.
Speed gap
MiMo-V2-Omni-0327 generates about 2.0x as many tokens per second as Qwen3.6 Max Preview.
Reasoning gap
Qwen3.6 Max Preview leads MiMo-V2-Omni-0327 by 6.2 points on reasoning.
Coding gap
Qwen3.6 Max Preview leads MiMo-V2-Omni-0327 by 8.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
MiMo-V2-Omni-0327
Xiaomi
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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Qwen3.6 Max Preview
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Xi MiMo-V2-Omni-0327 | Top Pick Al Qwen3.6 Max Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.40/1M | $1.30/1M |
| Output Cost | $2.00/1M | $7.80/1M |
| Blended (3:1) | $0.80/1M | $2.92/1M |
| Specifications | ||
| Organization | Xiaomi | Alibaba |
| Release Date | Mar 27, 2026 | Apr 20, 2026 |
| Performance & Speed | ||
| Throughput | 78.5 tok/s | 39.0 tok/s |
| TTFT | 2981ms | 1903ms |
| Latency | 28474ms | 53182ms |
| Composite Indices | ||
| Value Score | 100.0 | 30.7 |
| Reasoning Score | 50.3 | 56.5 |
| Intelligence | 44.9 | 51.8 |
| Coding | 36.9 | 44.9 |
| Standard Benchmarks | ||
| GPQA | 85.5% | 88.8% |
| HLE | 20.4% | 28.9% |
| SciCode | 39.5% | 46.9% |
| LCR | 63.7% | 69.7% |
| IFBench | 67.3% | 76.6% |
| TAU-bench v2 | 88.0% | 95.9% |
| TerminalBench Hard | 35.6% | 43.9% |
Key Takeaways
MiMo-V2-Omni-0327 offers the best value at $0.40/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 Max Preview has the strongest reasoning profile with a 56.5 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 Max Preview reaches a 44.9 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
MiMo-V2-Omni-0327
- Cost-sensitive applications
- High-volume processing
Qwen3.6 Max Preview
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
