Model comparison
Gemini 3.1 Flash-Lite vs GPT-5.5
Head-to-head evidence from 19 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Flash-Lite #111 (Supported); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and GPT-5.5 share 19 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Gemini 3.1 Flash-Lite; 38 to GPT-5.5.
Updated July 23, 2026- Shared results
- 19
- Gemini 3.1 Flash-Lite only
- 1
- GPT-5.5 only
- 38
- Comparable categories
- 1 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 19 shared benchmark results across 6 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
GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 50.83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. That is roughly 20.0x on output cost alone. GPT-5.5 is the reasoning model in the pair, while Gemini 3.1 Flash-Lite 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.
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 3.1 Flash-Lite | Δ | GPT-5.5 |
|---|---|---|---|
| Multimodal | Gemini 3.1 Flash-Lite73.2 | Margin← 2.8 | GPT-5.570.4 |
| Agentic | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GPT-5.581.6 |
| Coding | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GPT-5.558.6 |
| Reasoning | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GPT-5.585.0 |
| Knowledge | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GPT-5.557.8 |
| Math | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GPT-5.547.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Flash-Lite | GPT-5.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | GPT-5.5$5 input / $30 output | Gemini 3.1 Flash-Lite has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Flash-Lite7.50 s | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | GPT-5.51M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic24 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.5 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 6.2% | 44.9% | GPT-5.5 leads |
| APEX-Agents-AASource | 12.2% | 37.7% | GPT-5.5 leads |
| τ²-bench resultsSource | 31.3% | 93.9% | GPT-5.5 leads |
| GDPval-AASource | 7.1% | 49.5% | GPT-5.5 leads |
| GDPval-AASource | 642 | 1490 | GPT-5.5 leads |
| Gert LabsSource | 38.46% | 72.93% | GPT-5.5 leads |
| Terminal-Bench 2.0Source | — | 82% | Not comparable |
| CyberGymSource | — | 81.8% | Not comparable |
| BrowseCompSource | — | 84.4% | Not comparable |
| OSWorld-VerifiedSource | — | 78.7% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| JobBenchSource | — | 42.7% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA BriefcaseSource | — | 1154 | Not comparable |
| AA AutomationBenchSource | — | 42.1% | Not comparable |
| AA EnterpriseOps-GymSource | — | 46.6% | Not comparable |
| AA Harvey LABSource | — | 86.3% | Not comparable |
| AA ITBenchSource | — | 45.8% | Not comparable |
| AA Tau3 BankingSource | — | 31.3% | Not comparable |
| terminalBenchHardSource | — | 60.6% | Not comparable |
| aaTerminalBench21Source | — | 84.3% | Not comparable |
Coding9 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.5 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 0.00% | 69.85% | GPT-5.5 leads |
| AA Coding IndexSource | 34.7% | 74.9% | GPT-5.5 leads |
| AA-SciCodeSource | 41.9% | 56.1% | GPT-5.5 leads |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.0% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
| cursorBench32Source | — | 58.4% | Not comparable |
| FrontierCode 1.1 MainSource | — | 43.0% | Not comparable |
Reasoning5 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | 54.8% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 82.2% | 93.5% | GPT-5.5 leads |
| AA-HLESource | 16.2% | 44.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | -15.5% | 20.1% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 36.4% | 56.9% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 81.6% | 85.5% | Gemini 3.1 Flash-Lite leads |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
| HLESource | — | 52.2% | Not comparable |
| HLE w/o toolsSource | — | 41.4% | Not comparable |
Math3 benchmarks
MultimodalGemini 3.1 Flash-Lite wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.2% | 75.9% | Gemini 3.1 Flash-Lite leads |
Frequently Asked Questions (2)
Which is better, Gemini 3.1 Flash-Lite or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 50.83.
Which is better for multimodal and grounded tasks, Gemini 3.1 Flash-Lite or GPT-5.5?
Gemini 3.1 Flash-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 73.2 versus 70.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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