Compare/Qwen3 8B (Reasoning) vs MiMo-V2-Omni-0327

Qwen3 8B (Reasoning)vsMiMo-V2-Omni-0327

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Alibaba

Qwen3 8B (Reasoning)

Input
$0.18/M
Output
$2.1/M
Speed
66 tok/s
TTFT
1.45s
Xiaomi

MiMo-V2-Omni-0327

Input
$0.4/M
Output
$2/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3 8B (Reasoning)
Faster (tok/s)
Qwen3 8B (Reasoning)
Lower Latency
MiMo-V2-Omni-0327
Benchmarks (6-6)
Tie

Pricing Comparison

MetricQwen3 8B (Reasoning)MiMo-V2-Omni-0327
Input ($/M tokens)$0.18$0.4
Output ($/M tokens)$2.1$2
Cost for 1M input + 100K output tokens:
Qwen3 8B (Reasoning)$0.39
MiMo-V2-Omni-0327$0.60

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 8B (Reasoning)
66 tok/s
MiMo-V2-Omni-0327
Time to First Token (seconds) — lower is better
Qwen3 8B (Reasoning)
1.45s
MiMo-V2-Omni-0327

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.336.4
Coding Index
9.0
Math Index
19.0
GPQA Diamond
58.9%85.5%
MMLU-Pro
74.3%
LiveCodeBench
40.6%
AIME 2025
19.0%
MATH-500
90.4%
Humanity's Last Exam
4.2%20.4%
SciCode
22.6%39.5%
IFBench
33.5%67.3%
TerminalBench
2.3%35.6%
Qwen3 8B (Reasoning)6 wins
6 winsMiMo-V2-Omni-0327

Frequently Asked Questions

Which is cheaper, Qwen3 8B (Reasoning) or MiMo-V2-Omni-0327?

Qwen3 8B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.66/M tokens vs $0.80/M for MiMo-V2-Omni-0327.

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 8B (Reasoning) generates tokens faster at 66 tok/s vs 0 tok/s. However, MiMo-V2-Omni-0327 has lower time-to-first-token (0.00s vs 1.45s).

When should I use Qwen3 8B (Reasoning) vs MiMo-V2-Omni-0327?

Choose based on your priorities: Qwen3 8B (Reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3 8B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.