#272 MiMo-V2-Flash
none- Cost
- $0.001
- Time
- 7.7s
- Tokens
- 1,481 tok
Xiaomi
Release: 2025-12-16
Tested on: 2026-06-04 13:47
xiaomi/mimo-v2-flash::none
309B total (15B active)MoEOpen source
(medium)
(none)
Summary
MiMo-V2-Flash scores 4.0 on AI BENCHY and ranks #272. It has 6.7 reliability, a 24.2% pass rate, $0.025 total cost, and 2.76s average response time.
What makes MiMo-V2-Flash unique: It stands out most in Domain specific, where it ranks #1, while Anti-AI Tricks is its weakest area at #9.
Archived model: this model is no longer updated or tested on new tests.
Model facts
Researched on 2026-08-12
- Parameters
- 309B total (15B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
4.0
Consistency
8.1
6.7
Total Output Tokens
68,882
Total Input Tokens
36,851
Input Price
$0.100 / 1M
Output Price
$0.300 / 1M
Flaky tests
4
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-06-04 13:47 New test added | 4.0 | 6.7 | $0.025 ↑ | Current run | |
| 2026-05-22 00:20 Suite changed | 4.4 | 10.0 | $0.024 | Compare | |
| 2026-04-11 01:44 First recorded run | 4.5 | N/A | $0.023 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-06-04 13:47 · Current run | 63/66 attempts | 4.0 | 8.1 | 6.7 | 4/21 | 4 | 68,882 | 36,851 | $0.025 | 2.76s |
| 2026-05-22 00:20 · Suite changed | 60/60 attempts | 4.4 | 8.0 | 10.0 | 3/20 | 5 | 68,562 | 0 | $0.024 | 2.64s |
| Difference | — | -0.4 | +0.1 | -3.3 | +1 | -1 | +320 | +36851 | +$0.002 | +127ms |
Benchmark coverage differs: 63/63 attempts (Target: 3 repeats per test) versus 60/60 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price |
|---|---|---|
| 2026-06-04 15:40 | $0.100 / 1M | $0.300 / 1M |
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 3.2 | 8.0 | |
| Coding | 4.3 | 7.9 | |
| Combined | 1.5 | 5.0 | |
| Data parsing and extraction | 2.9 | 5.8 | |
| Domain specific | 5.3 | 7.2 | |
| General Intelligence | 4.6 | 10.0 | |
| Instructions following | 6.5 | 10.0 | |
| Puzzle Solving | 5.3 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |