Compare/MiMo-V2-Omni-0327 vs gpt-oss-20B (high)

MiMo-V2-Omni-0327vsgpt-oss-20B (high)

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

Xiaomi

MiMo-V2-Omni-0327

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

gpt-oss-20B (high)

Input
$0.06/M
Output
$0.2/M
Speed
274 tok/s
TTFT
0.42s

Winner by Category

Cheaper
MiMo-V2-Omni-0327
Faster (tok/s)
gpt-oss-20B (high)
Lower Latency
MiMo-V2-Omni-0327
Benchmarks (7-4)
MiMo-V2-Omni-0327

Pricing Comparison

MetricMiMo-V2-Omni-0327gpt-oss-20B (high)
Input ($/M tokens)$0$0.06
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
MiMo-V2-Omni-0327$0.00
gpt-oss-20B (high)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
MiMo-V2-Omni-0327
gpt-oss-20B (high)
274 tok/s
Time to First Token (seconds) — lower is better
MiMo-V2-Omni-0327
gpt-oss-20B (high)
0.42s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
44.924.5
Coding Index
36.918.5
Math Index
89.3
GPQA Diamond
85.5%68.8%
MMLU-Pro
74.8%
LiveCodeBench
77.7%
AIME 2025
89.3%
MATH-500
Humanity's Last Exam
20.4%9.8%
SciCode
39.5%34.4%
IFBench
67.3%65.1%
TerminalBench
35.6%10.6%
MiMo-V2-Omni-03277 wins
4 winsgpt-oss-20B (high)

Frequently Asked Questions

Which is cheaper, MiMo-V2-Omni-0327 or gpt-oss-20B (high)?

MiMo-V2-Omni-0327 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.09/M for gpt-oss-20B (high).

Which model performs better on benchmarks?

MiMo-V2-Omni-0327 wins 7 out of 12 benchmarks compared to 4 for gpt-oss-20B (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (high) generates tokens faster at 274 tok/s vs 0 tok/s. MiMo-V2-Omni-0327 also has lower time-to-first-token (0.00s vs 0.42s).

When should I use MiMo-V2-Omni-0327 vs gpt-oss-20B (high)?

Choose based on your priorities: MiMo-V2-Omni-0327 for lower cost, MiMo-V2-Omni-0327 for stronger benchmark performance, and gpt-oss-20B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.