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Ling 2.6 Flash (default) vs GPT-5.4 Nano

GPT-5.4 Nano leads on average score with 4.6 vs 4.5. Ling 2.6 Flash (default) has the lower benchmark cost at $0.002 vs $0.068. GPT-5.4 Nano is faster at 4.42s vs 10.21s, with pass rates of 29.0% vs 26.1%.

Last updated at: 2026-10-19

Compared models

Rank
#382
Total Output Tokens
14,903
Response Time (avg)
10.21s
Total Cost
$0.002
Rank
#374
Total Output Tokens
14,894
Response Time (avg)
4.42s
Total Cost
$0.068
Recommended model GPT-5.4 Nano

It has the best score here (4.6), while responding about 2.3x faster than Ling 2.6 Flash (default).

Detailed comparison

Metric Ling 2.6 Flash Ling 2.6 Flash default Release: 2026-04-21 GPT-5.4 Nano GPT-5.4 Nano none Release: 2026-03-17
Score 4.5 4.6
Rank #382 #374
Reliability 9.6 10.0
Consistency 9.3 8.7
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 29.0% 26.1%
Flaky tests 2 4
Total Runs 69 69
Cost per result 0.024 1.699
Total Cost $0.002 $0.068
Input Price $0.010 / 1M $0.200 / 1M
Output Price $0.030 / 1M $1.250 / 1M
Cache Read Price N/A $0.020 / 1M
Cache Write Price N/A N/A
Total Input Tokens 114,384 246,687
Output Tokens 14,903 14,894
Reasoning Tokens 0 0
Response Time (avg) 10.21s 4.42s
Response Time (max) 36.03s 45.38s
Response Time (total) 214.31s 101.75s
Parameters 104B total (7.4B active) ~120B total (~5B active)
Availability Open source Closed

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#382 Ling 2.6 Flash

default
Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash
Cost
$0.000
Time
0.0s
Tokens
0 tok

#374 GPT-5.4 Nano

none
Cost
$0.008
Time
46.1s
Tokens
5,735 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
Ling 2.6 Flash 5.3 10.0 33.3% 0 11.21s 813 381 0
GPT-5.4 Nano 4.6 7.9 22.2% 1 2.22s 7,305 613 0

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