Model comparison
LFM2.5-VL-1.6B-Extract vs MiMo-V2-Omni
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2.5-VL-1.6B-Extract unranked (Not scored); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-VL-1.6B-Extract and MiMo-V2-Omni share 12 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to LFM2.5-VL-1.6B-Extract; 2 to MiMo-V2-Omni.
Updated July 23, 2026- Shared results
- 12
- LFM2.5-VL-1.6B-Extract only
- 3
- MiMo-V2-Omni only
- 2
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-1.6B-Extract and MiMo-V2-Omni is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.
MiMo-V2-Omni has the larger context window at 262K, 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 | LFM2.5-VL-1.6B-Extract | Δ | MiMo-V2-Omni |
|---|---|---|---|
| Coding | LFM2.5-VL-1.6B-ExtractNot measured | MarginNo overlap | MiMo-V2-Omni74.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-1.6B-Extract | MiMo-V2-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-1.6B-ExtractNot available | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-1.6B-ExtractNot available | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-1.6B-ExtractNot available | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-1.6B-Extract128K | MiMo-V2-Omni262K | MiMo-V2-Omni lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | MiMo-V2-Omni | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 1.0% | 35.0% | MiMo-V2-Omni leads |
| AA-GPQA DiamondSource | 28.9% | 82.8% | MiMo-V2-Omni leads |
| AA-HLESource | 5.1% | 19.9% | MiMo-V2-Omni leads |
| AA-Omniscience IndexSource | -83.9% | -17.4% | MiMo-V2-Omni leads |
| AA-Omniscience AccuracySource | 5.2% | 18.7% | MiMo-V2-Omni leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 44.4% | MiMo-V2-Omni leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.1% | 53.5% | MiMo-V2-Omni leads |
Frequently Asked Questions (2)
Can I compare LFM2.5-VL-1.6B-Extract and MiMo-V2-Omni 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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