Model comparison
Gemini 3.1 Flash-Lite vs Gemini 3.5 Flash Cyber
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 3.1 Flash-Lite #111 (Supported); Gemini 3.5 Flash Cyber unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and Gemini 3.5 Flash Cyber share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to Gemini 3.1 Flash-Lite; 1 to Gemini 3.5 Flash Cyber.
Updated July 24, 2026- Shared results
- 0
- Gemini 3.1 Flash-Lite only
- 20
- Gemini 3.5 Flash Cyber only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Flash-Lite and Gemini 3.5 Flash Cyber 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash Cyber | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | Gemini 3.5 Flash CyberNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | Gemini 3.5 Flash CyberNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Flash-Lite7.50 s | Gemini 3.5 Flash CyberNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | Gemini 3.5 Flash CyberNot available | A complete context comparison is not available. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash Cyber | Result |
|---|---|---|---|
| AA Agentic IndexSource | 6.2% | — | Not comparable |
| APEX-Agents-AASource | 12.2% | — | Not comparable |
| τ²-bench resultsSource | 31.3% | — | Not comparable |
| GDPval-AASource | 7.1% | — | Not comparable |
| GDPval-AASource | 642 | — | Not comparable |
| Gert LabsSource | 38.46% | — | Not comparable |
| CyberGymSource | — | 83.2% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash Cyber | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | — | Not comparable |
| AA-GPQA DiamondSource | 82.2% | — | Not comparable |
| AA-HLESource | 16.2% | — | Not comparable |
| AA-Omniscience IndexSource | -15.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 36.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 81.6% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash Cyber | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Flash-Lite and Gemini 3.5 Flash Cyber 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 3.1 Flash-Lite and Gemini 3.5 Flash Cyber today?
Gemini 3.1 Flash-Lite: $0.25 input / $1.50 output per 1M tokens Gemini 3.5 Flash Cyber: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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