Model comparison
Gemini 3.6 Flash vs LFM2.5-VL-450M
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Gemini 3.6 Flash and LFM2.5-VL-450M share 0 comparable benchmark results. 0 of 8 categories are comparable. 19 results are unique to Gemini 3.6 Flash; 7 to LFM2.5-VL-450M.
Updated July 21, 2026- Shared results
- 0
- Gemini 3.6 Flash only
- 19
- LFM2.5-VL-450M only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.6 Flash and LFM2.5-VL-450M 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 3.6 Flash is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. Gemini 3.6 Flash has the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | LFM2.5-VL-450M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | LFM2.5-VL-450M$0 input / $0 output | LFM2.5-VL-450M has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | LFM2.5-VL-450MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | LFM2.5-VL-450MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | LFM2.5-VL-450M128K | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemini 3.6 Flash | LFM2.5-VL-450M | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | — | Not comparable |
| AA Agentic IndexSource | 38.7% | — | Not comparable |
| GDPval-AASource | 46.1% | — | Not comparable |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| BFCL v4Source | — | 21.1% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemini 3.6 Flash | LFM2.5-VL-450M | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | — | Not comparable |
| AA-GPQA DiamondSource | 92.8% | — | Not comparable |
| AA-HLESource | 38.3% | — | Not comparable |
| AA-Omniscience IndexSource | 23.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 50.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 53.5% | — | Not comparable |
| GPQASource | — | 25.7% | Not comparable |
| MMLU-ProSource | — | 19.3% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | LFM2.5-VL-450M | Result |
|---|---|---|---|
| IFEvalSource | — | 61.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.6 Flash and LFM2.5-VL-450M 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 3.6 Flash and LFM2.5-VL-450M today?
Gemini 3.6 Flash: $1.50 input / $7.50 output per 1M tokens LFM2.5-VL-450M: $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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