Model comparison
Inkling vs LFM2.5-VL-450M
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; LFM2.5-VL-450M unranked
Evidence parity. Inkling and LFM2.5-VL-450M share 1 comparable benchmark result. 2 of 8 categories are comparable. 15 results are unique to Inkling; 6 to LFM2.5-VL-450M.
Updated July 15, 2026- Shared results
- 1
- Inkling only
- 15
- LFM2.5-VL-450M only
- 6
- Comparable categories
- 2 / 8
Pick Inkling if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Inkling is clearly ahead on the provisional aggregate, 69 to 34. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Inkling's sharpest advantage is in knowledge, where it averages 51.7 against 20.5. The single biggest benchmark swing on the page is GPQA, 87.9% to 25.7%.
Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. That is roughly Infinityx on output cost alone. LFM2.5-VL-450M is the reasoning model in the pair, while Inkling 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. Inkling gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.
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 | Inkling | Δ | LFM2.5-VL-450M |
|---|---|---|---|
| Knowledge | Inkling51.7 | Margin← 31.2 | LFM2.5-VL-450M20.5 |
| Inst. Following | Inkling79.8 | Margin← 18.6 | LFM2.5-VL-450M61.2 |
| Agentic | Inkling69.4 | MarginNo overlap | LFM2.5-VL-450MNot measured |
| Coding | Inkling68.6 | MarginNo overlap | LFM2.5-VL-450MNot measured |
| Math | Inkling97.1 | MarginNo overlap | LFM2.5-VL-450MNot measured |
| Multimodal | Inkling76.5 | MarginNo overlap | LFM2.5-VL-450MNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 87.9%B 25.7%Winner: InklingΔ 62.2GPQA: Inkling scored 87.9%; LFM2.5-VL-450M scored 25.7%. Inkling wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | LFM2.5-VL-450M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | LFM2.5-VL-450M$0 input / $0 output | LFM2.5-VL-450M has the lower combined listed price. |
| Generation speedtokens per second | InklingNot available | LFM2.5-VL-450MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | LFM2.5-VL-450MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | LFM2.5-VL-450M128K | Inkling lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
KnowledgeInkling wins5 benchmarks
Math1 benchmarks
| Benchmark | Inkling | LFM2.5-VL-450M | Result |
|---|---|---|---|
| AIME26Source | 97.1% | — | Not comparable |
Multimodal6 benchmarks
Frequently Asked Questions (3)
Which is better, Inkling or LFM2.5-VL-450M?
Inkling is ahead on BenchLM's provisional leaderboard, 69 to 34. The biggest single separator in this matchup is GPQA, where the scores are 87.9% and 25.7%.
Which is better for knowledge tasks, Inkling or LFM2.5-VL-450M?
Inkling has the edge for knowledge tasks in this comparison, averaging 51.7 versus 20.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, Inkling or LFM2.5-VL-450M?
Inkling has the edge for instruction following in this comparison, averaging 79.8 versus 61.2. LFM2.5-VL-450M stays close enough that the answer can still flip depending on your workload.
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