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Kimi K2.6 (medium) vs Space Bunny Alpha (max)

Kimi K2.6 (medium) leads on average score with 6.8 vs 6.7. Space Bunny Alpha (max) has the lower benchmark cost at $0.000 vs $1.323. Space Bunny Alpha (max) is faster at 36.24s vs 121.25s, with pass rates of 60.9% vs 59.4%.

Last updated at: 2026-10-01

Compared models

Rank
#168
Total Output Tokens
396,671
Response Time (avg)
121.25s
Total Cost
$1.323
Rank
#173
Total Output Tokens
219,014
Response Time (avg)
36.24s
Total Cost
$0.000
Recommended model Kimi K2.6 (medium)

It has the strongest score in this comparison (6.8) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric Kimi K2.6 Kimi K2.6 medium Release: 2026-04-20 Space Bunny Alpha Space Bunny Alpha max Release: 2026-09-24
Score 6.8 6.7
Rank #168 #173
Reliability 10.0 10.0
Consistency 8.4 8.3
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 60.9% 59.4%
Flaky tests 4 5
Total Runs 69 69
Cost per result 12.282 0.000
Total Cost $1.323 $0.000
Input Price $0.650 / 1M $0.000 / 1M
Output Price $3.410 / 1M $0.000 / 1M
Total Input Tokens 226,880 315,136
Output Tokens 65,346 219,014
Reasoning Tokens 331,325 0
Response Time (avg) 121.25s 36.24s
Response Time (max) 876.20s 320.00s
Response Time (total) 2667.55s 833.43s
Parameters 1T total (32B active) -
Availability Weights available Closed

Model generation showcase

Hamster playing table tennis

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

#168 MoonshotAI: Kimi K2.6

medium
Cost
$0.013
Time
103.4s
Tokens
3,620 tok

#173 Space Bunny Alpha

max
Cost
$0.000
Time
183.9s
Tokens
19,570 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
Kimi K2.6 5.7 8.6 33.3% 0 214.42s 2,925 9,970 77,189
Space Bunny Alpha 5.7 7.1 44.4% 1 17.08s 8,493 16,335 0

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