Model comparison
GPT-5.4 Pro vs LFM2.5-VL-1.6B-Extract
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 Pro #44 (Estimated); LFM2.5-VL-1.6B-Extract unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 Pro and LFM2.5-VL-1.6B-Extract share 1 comparable benchmark result. 0 of 8 categories are comparable. 11 results are unique to GPT-5.4 Pro; 14 to LFM2.5-VL-1.6B-Extract.
Updated July 23, 2026- Shared results
- 1
- GPT-5.4 Pro only
- 11
- LFM2.5-VL-1.6B-Extract only
- 14
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.4 Pro and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-5.4 Pro has the larger context window at 1.05M, compared with 128K for LFM2.5-VL-1.6B-Extract.
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 | GPT-5.4 Pro | Δ | LFM2.5-VL-1.6B-Extract |
|---|---|---|---|
| Agentic | GPT-5.4 Pro89.3 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Reasoning | GPT-5.4 Pro83.3 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Knowledge | GPT-5.4 Pro58.7 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Math | GPT-5.4 Pro46.9 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Multimodal | GPT-5.4 Pro94.0 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 Pro | LFM2.5-VL-1.6B-Extract | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 Pro$30 input / $180 output | LFM2.5-VL-1.6B-ExtractNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 Pro74 tok/s | LFM2.5-VL-1.6B-ExtractNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 Pro151.79 s | LFM2.5-VL-1.6B-ExtractNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 Pro1.05M | LFM2.5-VL-1.6B-Extract128K | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | GPT-5.4 Pro | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 3.0% | Not comparable |
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.4 Pro | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| HLESource | 58.7% | — | Not comparable |
| FrontierScienceSource | 36.7% | — | Not comparable |
| FrontierScience ResearchSource | 36.7% | — | Not comparable |
| HLE w/o toolsSource | 42.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 1.0% | Not comparable |
| AA-GPQA DiamondSource | — | 28.9% | Not comparable |
| AA-HLESource | — | 5.1% | Not comparable |
| AA-Omniscience IndexSource | — | -83.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 5.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 94.0% | Not comparable |
Math4 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 Pro | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 33.1% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.4 Pro and LFM2.5-VL-1.6B-Extract on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.4 Pro and LFM2.5-VL-1.6B-Extract today?
GPT-5.4 Pro: $30.00 input / $180.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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