Mellum2-12B-A2.5B-Thinking-SFT: benchmark scores, price and ranking

Mellum2-12B-A2.5B-Thinking-SFT from JetBrains ranks #499 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.6), based on 1 benchmark results captured up to 2026-10-13.

Organisation
JetBrains
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#499 of 743 (score 46.6)

Across the 1 benchmark where at least ten models are scored, Mellum2-12B-A2.5B-Thinking-SFT is in the top 10% on 0 and in the top half on 0.

Mellum2-12B-A2.5B-Thinking-SFT benchmark results

Mellum2-12B-A2.5B-Thinking-SFT benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
GPQA Diamond39.9%#223 of 275HuggingFace GPQA Diamond leaderboard2026-10-13

About Mellum2-12B-A2.5B-Thinking-SFT

Mellum2-12B-A2.5B-Thinking-SFT is an open-weight model that can run on your own hardware from JetBrains. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Mellum2-12B-A2.5B-Thinking-SFT stands

On our aggregate score, Mellum2-12B-A2.5B-Thinking-SFT is #499 of 743 ranked models, in the lower half. Its score is 46.6; the scale is centred on 50, so it sits 3.4 points below the typical model. That beats 33% of the ranked field. Among the 6 ranked JetBrains models it is #3. The next one up is Mellum2-12B-A2.5B-Instruct at 46.8. The next one down is Mellum2-12B-A2.5B-Instruct-SFT at 46.5.

Mellum2-12B-A2.5B-Thinking-SFT, benchmark by benchmark

GPQA Diamond is a weak spot. Mellum2-12B-A2.5B-Thinking-SFT scores 39.9%, #223 of 275, behind 81% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so Mellum2-12B-A2.5B-Thinking-SFT is 31.8 points below it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works