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Ling 3.1 Flash vs GPT-5 Nano (medium)

GPT-5 Nano (medium) leads on average score with 5.7 vs 5.5. Ling 3.1 Flash has the lower benchmark cost at $0.000 vs $0.159. Ling 3.1 Flash is faster at 15.75s vs 56.55s, with pass rates of 33.3% vs 53.6%.

Last updated at: 2026-10-17

Compared models

Rank
#308
Total Output Tokens
85,777
Response Time (avg)
15.75s
Total Cost
$0.000
Rank
#293
Total Output Tokens
307,921
Response Time (avg)
56.55s
Total Cost
$0.159
Recommended model GPT-5 Nano (medium)

It has the strongest score in this comparison (5.7) and the best overall balance of cost and response time across 2 models.

Detailed comparison

Metric Ling 3.1 Flash Ling 3.1 Flash none Release: 2026-10-03 GPT-5 Nano GPT-5 Nano medium Release: 2025-08-07
Score 5.5 5.7
Rank #308 #293
Reliability 9.8 10.0
Consistency 8.4 6.5
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 33.3% 53.6%
Flaky tests 5 10
Total Runs 69 69
Cost per result 0.000 1.737
Total Cost $0.000 $0.159
Input Price $0.000 / 1M $0.050 / 1M
Output Price $0.000 / 1M $0.400 / 1M
Cache Read Price N/A $0.005 / 1M
Cache Write Price N/A N/A
Total Input Tokens 286,758 314,436
Output Tokens 85,777 13,578
Reasoning Tokens 0 294,343
Response Time (avg) 15.75s 56.55s
Response Time (max) 90.95s 227.89s
Response Time (total) 362.23s 961.32s
Parameters 560B total (25B active) ~120B total (~5B active)
Availability Closed 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.

#308 Ling 3.1 Flash

none
Cost
$0.000
Time
171.4s
Tokens
20,178 tok

#293 GPT-5 Nano

medium
Cost
$0.006
Time
108.5s
Tokens
13,209 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 3.1 Flash 4.5 7.5 22.2% 1 31.85s 8,307 27,810 0
GPT-5 Nano 7.0 7.7 55.6% 1 41.62s 7,305 740 41,152

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