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LFM3-1.7B (default) vs MiniMax M2.5 (medium)

MiniMax M2.5 (medium) leads on average score with 4.3 vs 4.1. LFM3-1.7B (default) has the lower benchmark cost at $0.084 vs $0.440. LFM3-1.7B (default) is faster at 16.99s vs 102.32s, with pass rates of 34.8% vs 42.0%.

Last updated at: 2026-11-10

Compared models

Rank
#430
Total Output Tokens
329,997
Response Time (avg)
16.99s
Total Cost
$0.084
Rank
#425
Total Output Tokens
284,991
Response Time (avg)
102.32s
Total Cost
$0.440
Recommended model LFM3-1.7B (default)

Its score stays close to the best score here (4.1 vs 4.3), while costing about 5.3x less than MiniMax M2.5 (medium).

Detailed comparison

Metric LFM3-1.7B LFM3-1.7B default Release: 2026-11-06 Free Available MiniMax M2.5 MiniMax M2.5 medium Release: 2026-02-12
Score 4.1 4.3
Rank #430 #425
Reliability 10.0 9.3
Consistency 8.2 6.8
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 34.8% 42.0%
Flaky tests 5 9
Total Runs 69 69
Cost per result 1.672 7.104
Total Cost $0.084 $0.440
Input Price $0.080 / 1M $0.270 / 1M
Output Price $0.200 / 1M $1.080 / 1M
Cache Read Price $0.020 / 1M $0.027 / 1M
Cache Write Price N/A N/A
Total Input Tokens 219,830 188,239
Output Tokens 5,711 27,822
Reasoning Tokens 324,286 262,674
Response Time (avg) 16.99s 102.32s
Response Time (max) 56.52s 600.81s
Response Time (total) 390.77s 1637.05s
Parameters 1.7B 230B total (10B active)
Availability Weights available Weights available

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.

#430 LiquidAI: LFM3-1.7B

default
OpenRouter returned no showcase content (finish_reason: length).
Cost
$0.002
Time
23.3s
Tokens
8,320 tok

#425 MiniMax M2.5

medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 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
LFM3-1.7B 2.9 10.0 0.0% 0 26.48s 7,461 0 73,728
MiniMax M2.5 3.4 9.1 0.0% 0 188.58s 6,076 357 106,177

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