Model comparison
Gemini 2.5 Flash vs LFM2.5-8B-A1B
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: Gemini 2.5 Flash supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Flash and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Gemini 2.5 Flash; 6 to LFM2.5-8B-A1B.
Updated July 16, 2026- Shared results
- 12
- Gemini 2.5 Flash only
- 4
- LFM2.5-8B-A1B only
- 6
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 2.5 Flash makes more sense if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model; LFM2.5-8B-A1B is the better fit if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 2.5 Flash and LFM2.5-8B-A1B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Gemini 2.5 Flash is also the more expensive model on tokens at $0.30 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. That is roughly Infinityx on output cost alone. LFM2.5-8B-A1B is the reasoning model in the pair, while Gemini 2.5 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 2.5 Flash gives you the larger context window at 1M, 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 | Gemini 2.5 Flash | Δ | LFM2.5-8B-A1B |
|---|---|---|---|
| Math | Gemini 2.5 Flash4.7 | Margin→ 45.3 | LFM2.5-8B-A1B50.0 |
| Inst. Following | Gemini 2.5 FlashNot measured | MarginNo overlap | LFM2.5-8B-A1B68.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Flash | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Flash$0.3 input / $2.5 output | LFM2.5-8B-A1B$0 input / $0 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Flash221 tok/s | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 2.5 Flash0.50 s | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 2.5 Flash1M | LFM2.5-8B-A1B128K | Gemini 2.5 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 2.5 Flash | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 8.3% | Gemini 2.5 Flash leads |
| AA-GPQA DiamondSource | 68.3% | 51.3% | Gemini 2.5 Flash leads |
| AA-HLESource | 5.1% | 6.9% | LFM2.5-8B-A1B leads |
| AA-Omniscience IndexSource | -42.0% | -33.3% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 26.5% | 9.4% | Gemini 2.5 Flash leads |
| AA-Omniscience Hallucination RateSource | 93.3% | 47.0% | LFM2.5-8B-A1B leads |
MathLFM2.5-8B-A1B wins5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemini 2.5 Flash or LFM2.5-8B-A1B?
Gemini 2.5 Flash and LFM2.5-8B-A1B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Which is better for math, Gemini 2.5 Flash or LFM2.5-8B-A1B?
LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 4.7. Gemini 2.5 Flash stays close enough that the answer can still flip depending on your workload.
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