Model comparison
LFM2.5-VL-450M-Extract vs Muse Spark
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2.5-VL-450M-Extract unranked (Not scored); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-VL-450M-Extract and Muse Spark share 0 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to LFM2.5-VL-450M-Extract; 39 to Muse Spark.
Updated July 23, 2026- Shared results
- 0
- LFM2.5-VL-450M-Extract only
- 3
- Muse Spark only
- 39
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-450M-Extract and Muse Spark is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 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.
Muse Spark has the larger context window at 262K, compared with 128K for LFM2.5-VL-450M-Extract.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-450M-Extract | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-450M-ExtractNot available | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-450M-ExtractNot available | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-450M-ExtractNot available | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-450M-Extract128K | Muse Spark262K | Muse Spark lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Muse Spark | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 59% | Not comparable |
| τ²-bench resultsSource | — | 91.5% | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| AA Agentic IndexSource | — | 28.7% | Not comparable |
| GDPval-AASource | — | 32.2% | Not comparable |
| GDPval-AASource | — | 1144 | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Muse Spark | Result |
|---|---|---|---|
| GPQA-DSource | — | 89.5% | Not comparable |
| HLESource | — | 50.4% | Not comparable |
| HLE w/o toolsSource | — | 42.8% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 43.1% | Not comparable |
| AA-GPQA DiamondSource | — | 88.4% | Not comparable |
| AA-HLESource | — | 39.9% | Not comparable |
| AA-Omniscience IndexSource | — | 4.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 44.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 73.2% | Not comparable |
Math2 benchmarks
Multimodal11 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Muse Spark | Result |
|---|---|---|---|
| Liquid Extract JSON ValiditySource | 98.9% | — | Not comparable |
| Liquid Extract F1Source | 98.8% | — | Not comparable |
| Liquid Extract VLM JudgeSource | 84.5% | — | Not comparable |
| CharXivSource | — | 86.4% | Not comparable |
| MMMU-ProSource | — | 80.4% | Not comparable |
| ERQASource | — | 64.7% | Not comparable |
| SimpleVQASource | — | 71.3% | Not comparable |
| ScreenSpot ProSource | — | 84.1% | Not comparable |
| ZeroBenchSource | — | 33.0% | Not comparable |
| MedXpertQA (MM)Source | — | 78.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (2)
Can I compare LFM2.5-VL-450M-Extract and Muse Spark 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.
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