Model comparison
Gemini 1.5 Pro vs LFM2.5-1.2B-Thinking
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 1.5 Pro #194 (Supported); LFM2.5-1.2B-Thinking #209 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 1.5 Pro and LFM2.5-1.2B-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Gemini 1.5 Pro; 0 to LFM2.5-1.2B-Thinking.
Updated July 28, 2026- Shared results
- 0
- Gemini 1.5 Pro only
- 6
- LFM2.5-1.2B-Thinking only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Gemini 1.5 Pro and LFM2.5-1.2B-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for LFM2.5-1.2B-Thinking yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Gemini 1.5 Pro is priced at $1.25 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Thinking. Gemini 1.5 Pro has the larger context window at 2M, compared with 32K for LFM2.5-1.2B-Thinking.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 1.5 Pro | LFM2.5-1.2B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 1.5 Pro$1.25 input / $5 output | LFM2.5-1.2B-Thinking$0 input / $0 output | LFM2.5-1.2B-Thinking has the lower combined listed price. |
| Generation speedtokens per second | Gemini 1.5 ProNot available | LFM2.5-1.2B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 1.5 ProNot available | LFM2.5-1.2B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 1.5 Pro2M | LFM2.5-1.2B-Thinking32K | Gemini 1.5 Pro lists the larger context window. |
Benchmark Deep Dive
Coding2 benchmarks
Knowledge3 benchmarks
Multimodal1 benchmarks
| Benchmark | Gemini 1.5 Pro | LFM2.5-1.2B-Thinking | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 55.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 1.5 Pro and LFM2.5-1.2B-Thinking 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 Gemini 1.5 Pro and LFM2.5-1.2B-Thinking today?
Gemini 1.5 Pro: $1.25 input / $5.00 output per 1M tokens LFM2.5-1.2B-Thinking: $0.00 input / $0.00 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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