Model comparison
LFM2.5-VL-1.6B-Extract vs Mistral Small 4 (Reasoning)
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. LFM2.5-VL-1.6B-Extract and Mistral Small 4 (Reasoning) share 12 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to LFM2.5-VL-1.6B-Extract; 4 to Mistral Small 4 (Reasoning).
Updated July 23, 2026- Shared results
- 12
- LFM2.5-VL-1.6B-Extract only
- 3
- Mistral Small 4 (Reasoning) only
- 4
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-1.6B-Extract and Mistral Small 4 (Reasoning) 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.
Mistral Small 4 (Reasoning) has the larger context window at 256K, 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-1.6B-Extract | Mistral Small 4 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-1.6B-ExtractNot available | Mistral Small 4 (Reasoning)$0.15 input / $0.6 output | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-1.6B-ExtractNot available | Mistral Small 4 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-1.6B-ExtractNot available | Mistral Small 4 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-1.6B-Extract128K | Mistral Small 4 (Reasoning)256K | Mistral Small 4 (Reasoning) lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 1.0% | 19.6% | Mistral Small 4 (Reasoning) leads |
| AA-GPQA DiamondSource | 28.9% | 76.9% | Mistral Small 4 (Reasoning) leads |
| AA-HLESource | 5.1% | 9.5% | Mistral Small 4 (Reasoning) leads |
| AA-Omniscience IndexSource | -83.9% | -29.9% | Mistral Small 4 (Reasoning) leads |
| AA-Omniscience AccuracySource | 5.2% | 22.1% | Mistral Small 4 (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 66.8% | Mistral Small 4 (Reasoning) leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.1% | 48.2% | Mistral Small 4 (Reasoning) leads |
Frequently Asked Questions (3)
Can I compare LFM2.5-VL-1.6B-Extract and Mistral Small 4 (Reasoning) 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 LFM2.5-VL-1.6B-Extract and Mistral Small 4 (Reasoning) today?
Mistral Small 4 (Reasoning): $0.15 input / $0.60 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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