Capability
Unranked
field median 58.1
Not eligible for a public rank
LFM2.5-VL-450M-Extract
Released May 26, 2026 — see all recent releases
Decision reading
LFM2.5-VL-450M-Extract is tracked, but not publicly ranked yet. The profile exposes 3 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
3 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Not listed
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/s
Time to first token not measured
Context
128Ktokens
field median 256,000
Reported for this model; direct source link not stored
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- CodingNot measured
- ReasoningNot measured
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- Multimodal3/3 verified
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%3 benchmarksVerified | Score pending | Not ranked | Not available | 12% | 3 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Multimodal opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Multimodal3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Liquid Extract JSON ValidityLiquid image-to-JSON extraction JSON validity | Score98.9% | Versus best verified row Best verified: LFM2.5-VL-1.6B-Extract · 99.6% | Gap0.7 behind | WeightDisplay only | Provider exact |
| Liquid Extract F1Liquid image-to-JSON extraction schema consistency F1 | Score98.8% | Versus best verified row Best verified: LFM2.5-VL-1.6B-Extract · 99.6% | Gap0.8 behind | WeightDisplay only | Provider exact |
| Liquid Extract VLM JudgeLiquid image-to-JSON extraction VLM judge score | Score84.5% | Versus best verified row Best verified: LFM2.5-VL-1.6B-Extract · 90.6% | Gap6.1 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
May 26, 2026 · you are here
LFM2.5-VL-450M-ExtractNot publicly ranked · Price not listed
450m
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track LFM2.5-VL-450M-Extract, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
LFM2.5-VL-450M-Extract is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Official exact-value snapshot from the LiquidAI/LFM2.5-VL-450M-Extract Hugging Face model card. BenchLM stores Liquid's image-to-JSON extraction benchmark as display-only multimodal rows because the task is specialized and not part of the weighted multimodal ranking.
LFM2.5-VL-450M-Extract sits in the LFM2.5-VL Extract family with LFM2.5-VL-1.6B-Extract. 3 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyLFM2.5-VL-450M-Extract release history
LFM2.5-VL Extract released
LiquidAI · Model release
Source confirmed
Radar confirmed these at the source. Already tracking LFM2.5-VL-450M-Extract? See the free Radar Brief for what changes next.
Frequently asked questions
How does LFM2.5-VL-450M-Extract perform overall in AI benchmarks?
LFM2.5-VL-450M-Extract has 3 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is LFM2.5-VL-450M-Extract good for multimodal and grounded tasks?
LFM2.5-VL-450M-Extract has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is LFM2.5-VL-450M-Extract open source?
LFM2.5-VL-450M-Extract is an open-weight model from LiquidAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to LFM2.5-VL-450M-Extract?
LFM2.5-VL-450M-Extract belongs to the LFM2.5-VL Extract family. Related tracked variants include LFM2.5-VL-1.6B-Extract. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does LFM2.5-VL-450M-Extract have full benchmark coverage on BenchLM?
No. LFM2.5-VL-450M-Extract currently has 3 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of LFM2.5-VL-450M-Extract?
LFM2.5-VL-450M-Extract has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare LFM2.5-VL-450M-Extract with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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