Model comparison
Gemini 3.1 Flash Lite vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 40.8 on the Noometry Index. Gemini 3.1 Flash Lite costs 103× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemini 3.1 Flash Lite scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 22.9.
- The biggest single-benchmark swing is NYT Connections (extended): 8.2% for Gemini 3.1 Flash Lite and 79.3% for GPT-5.2 Pro.
- Gemini 3.1 Flash Lite is cheaper at $0.25 / $1.50 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- Gemini 3.1 Flash Lite accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 3.1 Flash Lite | GPT-5.2 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 40.8 | 52.3 |
| Released | 2026-03-03 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.25 | $21 |
| Output $ / M tokens | $1.50 | $168 |
| Results tracked | 38 | 8 |
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Category by category
Coding Not comparable
Gemini 3.1 Flash Lite: 37.8 (#188), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena WebDev | 1256 | — |
| SciCode | 41.9% | — |
| WeirdML | 52.2% | — |
| LMArena Coding | 1400 | — |
| ALE-Bench | 797.73 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Flash Lite: 30.2 (#79), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| DeepResearch Bench | 37.3% | — |
Reasoning GPT-5.2 Pro leads
Gemini 3.1 Flash Lite: 22.9 (#186), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| NYT Connections (extended) | 8.2% | 79.3% |
| Epoch Capabilities Index | 144.47 | 155.4 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 67.2% | — |
| ARC-AGI-1 | — | 90.5% |
| CritPt | 1.1% | — |
| Chess Puzzles | 25% | — |
| EnigmaEval | 3% | — |
| Thematic Generalization | 63.3% | — |
| LMArena Hard Prompts | 1407 | — |
| DTBench | 76.8% | — |
| LMCA | 35% | — |
| ForecastBench | 54.4 | — |
Math GPT-5.2 Pro leads
Gemini 3.1 Flash Lite: 40.7 (#90), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 27.7% | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 80% | — |
| LMArena Math | 1428 | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
Gemini 3.1 Flash Lite: 41.9 (#104), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 81.8% | — |
| Humanity's Last Exam | 8.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| LMArena Expert | 1398 | — |
Multimodal Not comparable
Gemini 3.1 Flash Lite: 39.4 (#60), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena Vision | 1240 | — |
Multilingual Not comparable
Gemini 3.1 Flash Lite: 52.3 (#86), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1411 | — |
| LMArena Chinese | 1461 | — |
| LMArena French | 1424 | — |
| LMArena German | 1429 | — |
| LMArena Japanese | 1413 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1420 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Not comparable
Gemini 3.1 Flash Lite: 72.7 (#131), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1377 | — |
Long Context Not comparable
Gemini 3.1 Flash Lite: 42.5 (#122), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1394 | — |
Writing & Preference Not comparable
Gemini 3.1 Flash Lite: 60.9 (#94), GPT-5.2 Pro: —
| Benchmark | Gemini 3.1 Flash Lite | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1416 | — |
| LMArena Creative Writing | 1401 | — |
| LMArena Multi-Turn | 1417 | — |
Frequently asked questions
Is Gemini 3.1 Flash Lite better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 40.8 on the Noometry Index. Gemini 3.1 Flash Lite costs 103× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Flash Lite or GPT-5.2 Pro?
Gemini 3.1 Flash Lite is cheaper. It lists at $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
Gemini 3.1 Flash Lite does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 3.1 Flash Lite and GPT-5.2 Pro share?
3 benchmarks have published results for both models. Gemini 3.1 Flash Lite has 38 scored results on Noometry and GPT-5.2 Pro has 8.