Model comparison
LFM2.5-VL-450M vs Mellum2-12B-A2.5B-Thinking
Head-to-head evidence from 3 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. LFM2.5-VL-450M and Mellum2-12B-A2.5B-Thinking share 3 comparable benchmark results. 2 of 8 categories are comparable. 4 results are unique to LFM2.5-VL-450M; 2 to Mellum2-12B-A2.5B-Thinking.
Updated July 23, 2026- Shared results
- 3
- LFM2.5-VL-450M only
- 4
- Mellum2-12B-A2.5B-Thinking only
- 2
- Comparable categories
- 2 / 8
Treat this as a split decision. LFM2.5-VL-450M makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Mellum2-12B-A2.5B-Thinking is the better fit if knowledge is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
LFM2.5-VL-450M and Mellum2-12B-A2.5B-Thinking finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while LFM2.5-VL-450M 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.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | LFM2.5-VL-450M | Δ | Mellum2-12B-A2.5B-Thinking |
|---|---|---|---|
| Knowledge | LFM2.5-VL-450M20.5 | Margin→ 37.1 | Mellum2-12B-A2.5B-Thinking57.6 |
| Inst. Following | LFM2.5-VL-450M61.2 | Margin→ 15.3 | Mellum2-12B-A2.5B-Thinking76.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 25.7%B 57.6%Winner: Mellum2-12B-A2.5B-ThinkingΔ 31.9GPQA: LFM2.5-VL-450M scored 25.7%; Mellum2-12B-A2.5B-Thinking scored 57.6%. Mellum2-12B-A2.5B-Thinking wins this benchmark. - Source ↗
IFEval
Inst. FollowingA 61.2%B 76.5%Winner: Mellum2-12B-A2.5B-ThinkingΔ 15.3IFEval: LFM2.5-VL-450M scored 61.2%; Mellum2-12B-A2.5B-Thinking scored 76.5%. Mellum2-12B-A2.5B-Thinking wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-450M | Mellum2-12B-A2.5B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-450M$0 input / $0 output | Mellum2-12B-A2.5B-ThinkingNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-450MNot available | Mellum2-12B-A2.5B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-450MNot available | Mellum2-12B-A2.5B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-450M128K | Mellum2-12B-A2.5B-Thinking128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | LFM2.5-VL-450M | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| BFCL v4Source | 21.1% | 45.6% | Mellum2-12B-A2.5B-Thinking leads |
KnowledgeMellum2-12B-A2.5B-Thinking wins4 benchmarks
Multimodal3 benchmarks
Inst. FollowingMellum2-12B-A2.5B-Thinking wins1 benchmarks
| Benchmark | LFM2.5-VL-450M | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| IFEvalSource | 61.2% | 76.5% | Mellum2-12B-A2.5B-Thinking leads |
Frequently Asked Questions (3)
Which is better, LFM2.5-VL-450M or Mellum2-12B-A2.5B-Thinking?
LFM2.5-VL-450M and Mellum2-12B-A2.5B-Thinking are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, LFM2.5-VL-450M or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 20.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, LFM2.5-VL-450M or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for instruction following in this comparison, averaging 76.5 versus 61.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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