Model comparison
Inkling vs LFM2.5-230M
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; LFM2.5-230M unranked
Evidence parity. Inkling and LFM2.5-230M share 3 comparable benchmark results. 2 of 8 categories are comparable. 13 results are unique to Inkling; 3 to LFM2.5-230M.
Updated July 15, 2026- Shared results
- 3
- Inkling only
- 13
- LFM2.5-230M only
- 3
- Comparable categories
- 2 / 8
Pick Inkling if you want the stronger benchmark profile. LFM2.5-230M 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 3 shared benchmark results across 2 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
Inkling is clearly ahead on the provisional aggregate, 69 to 31. 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 21.2. The single biggest benchmark swing on the page is GPQA, 87.9% to 25.4%.
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 LFM2.5-230M. That is roughly Infinityx on output cost alone. LFM2.5-230M 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 32K for LFM2.5-230M.
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 | LFM2.5-230M |
|---|---|---|---|
| Knowledge | Inkling51.7 | Margin← 30.5 | LFM2.5-230M21.2 |
| Inst. Following | Inkling79.8 | Margin← 29.7 | LFM2.5-230M50.1 |
| Agentic | Inkling69.4 | MarginNo overlap | LFM2.5-230MNot measured |
| Coding | Inkling68.6 | MarginNo overlap | LFM2.5-230MNot measured |
| Math | Inkling97.1 | MarginNo overlap | LFM2.5-230MNot measured |
| Multimodal | Inkling76.5 | MarginNo overlap | LFM2.5-230MNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | LFM2.5-230M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | LFM2.5-230M$0 input / $0 output | LFM2.5-230M has the lower combined listed price. |
| Generation speedtokens per second | InklingNot available | LFM2.5-230MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | LFM2.5-230MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | LFM2.5-230M32K | Inkling lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
KnowledgeInkling wins5 benchmarks
Math1 benchmarks
| Benchmark | Inkling | LFM2.5-230M | Result |
|---|---|---|---|
| AIME26Source | 97.1% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, Inkling or LFM2.5-230M?
Inkling is ahead on BenchLM's provisional leaderboard, 69 to 31. The biggest single separator in this matchup is GPQA, where the scores are 87.9% and 25.4%.
Which is better for knowledge tasks, Inkling or LFM2.5-230M?
Inkling has the edge for knowledge tasks in this comparison, averaging 51.7 versus 21.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, Inkling or LFM2.5-230M?
Inkling has the edge for instruction following in this comparison, averaging 79.8 versus 50.1. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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