Model comparison
LFM2.5-8B-A1B vs Mistral Small 4
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: LFM2.5-8B-A1B estimated; Mistral Small 4 estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-8B-A1B and Mistral Small 4 share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 5 to Mistral Small 4.
Updated July 16, 2026- Shared results
- 12
- LFM2.5-8B-A1B only
- 6
- Mistral Small 4 only
- 5
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-8B-A1B and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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 is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. Mistral Small 4 has the larger context window at 256K, compared with 128K for LFM2.5-8B-A1B.
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 | LFM2.5-8B-A1B | Δ | Mistral Small 4 |
|---|---|---|---|
| Math | LFM2.5-8B-A1B50.0 | MarginNo overlap | Mistral Small 4Not measured |
| Inst. Following | LFM2.5-8B-A1B68.8 | MarginNo overlap | Mistral Small 4Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-8B-A1B | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-8B-A1B$0 input / $0 output | Mistral Small 4$0.15 input / $0.6 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | LFM2.5-8B-A1BNot available | Mistral Small 4175 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-8B-A1BNot available | Mistral Small 40.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-8B-A1B128K | Mistral Small 4256K | Mistral Small 4 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-8B-A1B | Mistral Small 4 | Result |
|---|---|---|---|
| AA-GPQA DiamondSource | 51.3% | 76.9% | Mistral Small 4 leads |
| AA-HLESource | 6.9% | 9.5% | Mistral Small 4 leads |
| AA-Omniscience IndexSource | -33.3% | -29.9% | Mistral Small 4 leads |
| AA-Omniscience AccuracySource | 9.4% | 22.1% | Mistral Small 4 leads |
| AA-Omniscience Hallucination RateSource | 47.0% | 66.8% | LFM2.5-8B-A1B leads |
| Artificial Analysis Intelligence IndexSource | 8.3% | 19.6% | Mistral Small 4 leads |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | LFM2.5-8B-A1B | Mistral Small 4 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 56.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare LFM2.5-8B-A1B and Mistral Small 4 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 LFM2.5-8B-A1B and Mistral Small 4 today?
LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Mistral Small 4: $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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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