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Inkling Small (high) vs MiMo-V2.6-Pro (medium)

The average score is effectively tied at 8.4 vs 8.4. Inkling Small (high) has the lower benchmark cost at $0.398 vs $0.477. Inkling Small (high) is faster at 30.43s vs 147.50s, with pass rates of 69.7% vs 77.3%.

Last updated at: 2026-09-22

Compared models

Rank
#63
Total Output Tokens
298,893
Response Time (avg)
30.43s
Total Cost
$0.398
Rank
#61
Total Output Tokens
502,443
Response Time (avg)
147.50s
Total Cost
$0.477
Recommended model Inkling Small (high)

It has the best score here (8.4), while responding about 4.8x faster than MiMo-V2.6-Pro (medium).

Detailed comparison

Metric Inkling Small Inkling Small high Release: 2026-08-01 MiMo-V2.6-Pro MiMo-V2.6-Pro medium Release: 2026-09-22
Score 8.4 8.4
Rank #63 #61
Reliability 10.0 9.4
Consistency 9.2 7.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 69.7% 77.3%
Flaky tests 2 7
Total Runs 66 66
Cost per result 2.868 3.666
Total Cost $0.398 $0.477
Input Price $0.450 / 1M $0.435 / 1M
Output Price $1.200 / 1M $0.870 / 1M
Total Input Tokens 85,669 90,486
Output Tokens 6,092 6,569
Reasoning Tokens 292,801 495,874
Response Time (avg) 30.43s 147.50s
Response Time (max) 122.60s 904.91s
Response Time (total) 669.38s 3245.08s
Parameters 276B total (12B active) 1.02T total (42B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#63 Thinking Machines: Inkling Small

high
Cost
$0.006
Time
34.7s
Tokens
4,735 tok

#61 MiMo-V2.6-Pro

medium
Cost
$0.012
Time
185.6s
Tokens
13,493 tok

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

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
Inkling Small 10.0 10.0 100.0% 0 93.23s 7,374 463 120,474
MiMo-V2.6-Pro 8.2 7.2 88.9% 1 150.44s 7,422 785 94,571

Quick Compare

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