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Compared models

Nemotron 3 Super (medium) vs Qwen3.5-122B-A10B (medium) vs Elephant Alpha (medium) vs gpt-oss-120b (medium) benchmark comparison: Qwen3.5-122B-A10B (medium) leads on Score with 7.0. Qwen3.5-122B-A10B (medium) leads on Reliability with 10.0. Elephant Alpha (medium) has the lowest Total Cost at $0.000. Elephant Alpha (medium) is fastest at 1.27s.

Last updated at: 2026-10-26

Compared models

Rank
#324
Total Output Tokens
137,691
Response Time (avg)
56.40s
Total Cost
$0.081
Rank
#199
Total Output Tokens
522,190
Response Time (avg)
66.96s
Total Cost
$1.152
Rank
#423
Total Output Tokens
2,596
Response Time (avg)
1.27s
Total Cost
$0.000
Rank
#298
Total Output Tokens
108,704
Response Time (avg)
31.58s
Total Cost
$0.030
Recommended model gpt-oss-120b (medium)

It offers the best overall trade-off: a competitive score (5.9), lower cost than the other models in this comparison, and balanced response time.

Detailed comparison

Metric Nemotron 3 Super Nemotron 3 Super medium Release: 2026-03-11 Free Available Qwen3.5-122B-A10B Qwen3.5-122B-A10B medium Release: 2026-02-24 Elephant Alpha Elephant Alpha medium Release: 2026-04-14 gpt-oss-120b gpt-oss-120b medium Release: 2025-08-05
Score 5.5 7.0 3.5 5.9
Rank #324 #199 #423 #298
Reliability 9.5 10.0 N/A 10.0
Consistency 8.5 8.3 8.8 8.1
Attempts 69/69 69/69 63/69 69/69
Tests Correct
Attempt pass rate 42.0% 71.0% 27.5% 47.8%
Flaky tests 4 5 1 5
Total Runs 69 69 63 69
Cost per result 0.004 9.196 0.000 0.335
Total Cost $0.081 $1.152 $0.000 $0.030
Input Price $0.080 / 1M $0.260 / 1M $0.000 / 1M $0.037 / 1M
Output Price $0.450 / 1M $2.080 / 1M $0.000 / 1M $0.170 / 1M
Cache Read Price N/A N/A N/A N/A
Cache Write Price N/A N/A N/A N/A
Total Input Tokens 229,346 251,695 33,744 285,293
Output Tokens 18,597 49,415 2,596 29,565
Reasoning Tokens 129,338 472,775 0 89,266
Response Time (avg) 56.40s 66.96s 1.27s 31.58s
Response Time (max) 431.98s 519.30s 3.70s 203.90s
Response Time (total) 1184.46s 1539.99s 22.82s 536.78s
Parameters 120B total (12B active) 122B total (10B active) 104B total (7.4B active) 117B total (5.1B active)
Availability Weights available Open source Open source Open source

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.

#324 Nemotron 3 Super

medium
Cost
$0.000
Time
272.6s
Tokens
5,296 tok

#199 Qwen3.5-122B-A10B

medium
Cost
$0.019
Time
48.7s
Tokens
6,034 tok

#423 Elephant Alpha

medium
Elephant Alpha was a stealth model revealed on April 21st as Ling-2.6-flash. Find it here: https://openrouter.ai/inclusionai/ling-2.6-flash:free
Cost
$0.000
Time
0.1s
Tokens
0 tok

#298 gpt-oss-120b

medium
Cost
$0.001
Time
26.7s
Tokens
555 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
Nemotron 3 Super 3.1 10.0 0.0% 0 147.32s 2,275 797 4,424
Qwen3.5-122B-A10B 6.0 7.2 55.6% 1 114.48s 7,630 8,057 82,578
Elephant Alpha 3.7 7.8 11.1% 1 1.30s 813 365 0
gpt-oss-120b 5.9 7.0 55.6% 1 38.37s 7,782 3,365 11,973

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