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Seed 2.1 Turbo (medium) vs Inkling Small (high)

The average score is effectively tied at 8.4 vs 8.4. Inkling Small (high) has the lower benchmark cost at $0.398 vs $1.951. Inkling Small (high) is faster at 30.43s vs 193.59s, with pass rates of 78.8% vs 69.7%.

Last updated at: 2026-09-24

Compared models

Rank
#67
Total Output Tokens
759,191
Response Time (avg)
193.59s
Total Cost
$1.951
Rank
#69
Total Output Tokens
298,893
Response Time (avg)
30.43s
Total Cost
$0.398
Recommended model Inkling Small (high)

It has the best score here (8.4), while costing about 4.9x less than Seed 2.1 Turbo (medium).

Detailed comparison

Metric Seed 2.1 Turbo Seed 2.1 Turbo medium Release: 2026-08-12 Inkling Small Inkling Small high Release: 2026-08-01
Score 8.4 8.4
Rank #67 #69
Reliability 10.0 10.0
Consistency 8.2 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 78.8% 69.7%
Flaky tests 5 2
Total Runs 66 66
Cost per result 13.002 2.868
Total Cost $1.951 $0.398
Input Price $0.500 / 1M $0.450 / 1M
Output Price $2.500 / 1M $1.200 / 1M
Total Input Tokens 104,433 85,669
Output Tokens 6,511 6,092
Reasoning Tokens 752,680 292,801
Response Time (avg) 193.59s 30.43s
Response Time (max) 885.33s 122.60s
Response Time (total) 4258.98s 669.38s
Parameters ~200B total (~20B active) 276B total (12B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#67 Seed 2.1 Turbo

medium
Cost
$0.099
Time
583.9s
Tokens
39,514 tok

#69 Thinking Machines: Inkling Small

high
Cost
$0.006
Time
34.7s
Tokens
4,735 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
Seed 2.1 Turbo 8.2 7.2 88.9% 1 354.87s 8,220 384 205,892
Inkling Small 10.0 10.0 100.0% 0 93.23s 7,374 463 120,474

Quick Compare

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