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GPT-4.1 nano vs Mellum2-12B-A2.5B-Thinking

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

GPT-4.1 nano

26

VS

Mellum2-12B-A2.5B-Thinking

59

1 categoriesvs1 categories

Pick Mellum2-12B-A2.5B-Thinking if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if instruction following is the priority or you need the larger 1M context window.

Category Radar

Head-to-Head by Category

Category Breakdown

Knowledge

Mellum2-12B-A2.5B-Thinking
50.3vs57.6

+7.3 difference

Inst. Following

GPT-4.1 nano
83.2vs76.5

+6.7 difference

Operational Comparison

GPT-4.1 nano

Mellum2-12B-A2.5B-Thinking

Price (per 1M tokens)

$0.1 / $0.4

N/A

Speed

181 t/s

N/A

Latency (TTFT)

0.63s

N/A

Context Window

1M

128K

Quick Verdict

Pick Mellum2-12B-A2.5B-Thinking if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if instruction following is the priority or you need the larger 1M context window.

Mellum2-12B-A2.5B-Thinking is clearly ahead on the provisional aggregate, 59 to 26. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Mellum2-12B-A2.5B-Thinking's sharpest advantage is in knowledge, where it averages 57.6 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 57.6%. GPT-4.1 nano does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.

Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Thinking.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, GPT-4.1 nano or Mellum2-12B-A2.5B-Thinking?

Mellum2-12B-A2.5B-Thinking is ahead on BenchLM's provisional leaderboard, 59 to 26. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 57.6%.

Which is better for knowledge tasks, GPT-4.1 nano or Mellum2-12B-A2.5B-Thinking?

Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for instruction following, GPT-4.1 nano or Mellum2-12B-A2.5B-Thinking?

GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 76.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.

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Last updated: June 8, 2026

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