Model comparison
LFM2.5-8B-A1B vs Step 3.7 Flash
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; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-8B-A1B and Step 3.7 Flash share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 18 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 12
- LFM2.5-8B-A1B only
- 6
- Step 3.7 Flash only
- 18
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-8B-A1B and Step 3.7 Flash 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.
Step 3.7 Flash is priced at $0.20 input / $1.15 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. Step 3.7 Flash 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 | Step 3.7 Flash |
|---|---|---|---|
| Agentic | LFM2.5-8B-A1BNot measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | LFM2.5-8B-A1BNot measured | MarginNo overlap | Step 3.7 Flash56.3 |
| Math | LFM2.5-8B-A1B50.0 | MarginNo overlap | Step 3.7 FlashNot measured |
| Inst. Following | LFM2.5-8B-A1B68.8 | MarginNo overlap | Step 3.7 FlashNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-8B-A1B | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-8B-A1B$0 input / $0 output | Step 3.7 Flash$0.2 input / $1.15 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | LFM2.5-8B-A1BNot available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-8B-A1BNot available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-8B-A1B128K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | LFM2.5-8B-A1B | Step 3.7 Flash | Result |
|---|---|---|---|
| BFCL v4Source | 49.7% | — | Not comparable |
| τ²-bench resultsSource | 16.1% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-8B-A1B | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-GPQA DiamondSource | 51.3% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 6.9% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -33.3% | -37.5% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 9.4% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 47.0% | 84.4% | LFM2.5-8B-A1B leads |
| Artificial Analysis Intelligence IndexSource | 8.3% | 30.3% | Step 3.7 Flash leads |
Math3 benchmarks
Multimodal4 benchmarks
Frequently Asked Questions (3)
Can I compare LFM2.5-8B-A1B and Step 3.7 Flash 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 Step 3.7 Flash today?
LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Step 3.7 Flash: $0.20 input / $1.15 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.