Model comparison
Gemini 2.5 Flash-Lite vs GPT-5.1
GPT-5.1 is the stronger model overall, scoring 49.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 20× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
GoogleSummary
- They share 30 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GPT-5.1 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.1 leads 50.6 to 32.5.
- The biggest single-benchmark swing is VPCT: 30% for Gemini 2.5 Flash-Lite and 58.7% for GPT-5.1.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 2.5 Flash-Lite | GPT-5.1 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 49.0 |
| Released | 2025-06-17 | 2025-11-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.10 | $1.25 |
| Output $ / M tokens | $0.40 | $10 |
| Results tracked | 33 | 63 |
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Category by category
Coding GPT-5.1 leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GPT-5.1: 46.4 (#66)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| WeirdML | 35.2% | 60.8% |
| LMArena Coding | 1373 | 1454 |
| ALE-Bench | 325.9 | 1,192 |
| SWE-bench Verified | — | 68% |
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1395 |
| SciCode | — | 43.3% |
| GSO | — | 13.7% |
| LiveBench Coding | — | 72.5% |
Agentic & Tool Use GPT-5.1 leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-5.1: 32.7 (#60)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| Terminal-Bench | — | 47.6% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| DeepResearch Bench | — | 42.8% |
| LMArena Search | — | 1199 |
| Vending-Bench 2 | — | 1,473 |
Reasoning GPT-5.1 leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-5.1: 39.8 (#58)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1457 |
| DTBench | 62.8% | 90.1% |
| LMCA | 18.1% | 43.9% |
| Epoch Capabilities Index | 133.94 | 149.64 |
| ARC-AGI-2 | — | 17.6% |
| SimpleBench | — | 53.2% |
| Kagi LLM Benchmark | 40.5% | — |
| ARC-AGI-1 | — | 72.8% |
| CritPt | — | 4.9% |
| Chess Puzzles | — | 32% |
| EnigmaEval | — | 11.2% |
| LiveBench Reasoning | — | 95.8% |
| Mystery Game Puzzles | — | 19% |
| LiveBench Data Analysis | — | 72.1% |
| ForecastBench | — | 58.1 |
| LiveBench | — | 78.8% |
Math GPT-5.1 leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-5.1: 52.2 (#51)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| Omni-MATH | 48% | 46.4% |
| LMArena Math | 1373 | 1447 |
| OTIS Mock AIME 2024-2025 | — | 88.6% |
| LiveBench Math | — | 94.5% |
| FrontierMath (Feb 2025 set) | — | 31% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5.1 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-5.1: 50.6 (#71)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| MMLU-Pro | 53.7% | 57.9% |
| Vectara Hallucination Rate | 3.3% | 10.9% |
| GPQA (HELM) | 30.9% | 44.2% |
| LMArena Expert | 1373 | 1470 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 23.7% |
| SimpleQA Verified | — | 48% |
Multimodal GPT-5.1 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-5.1: 44.8 (#19)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| LMArena Vision | 1198 | 1250 |
| VPCT | 30% | 58.7% |
| LMArena Document | — | 1403 |
Multilingual GPT-5.1 leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-5.1: 53.8 (#56)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1369 | 1431 |
| LMArena Chinese | 1404 | 1495 |
| LMArena French | 1388 | 1450 |
| LMArena German | 1389 | 1438 |
| LMArena Japanese | 1359 | 1453 |
| LMArena Korean | 1360 | 1401 |
| LMArena Russian | 1373 | 1435 |
| LMArena Spanish | 1396 | 1433 |
Instruction Following GPT-5.1 leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-5.1: 83.9 (#1)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| IFEval | 81% | 93.5% |
| LMArena Instruction Following | 1367 | 1443 |
| LiveBench Instruction Following | — | 93.3% |
Long Context GPT-5.1 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-5.1: 47.6 (#14)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1373 | 1447 |
| Fiction.LiveBench | 47.2% | — |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |
Writing & Preference GPT-5.1 leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-5.1: 64.5 (#55)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5.1 |
|---|---|---|
| LMArena Text | 1379 | 1443 |
| LMArena Creative Writing | 1367 | 1427 |
| WildBench | 81.8% | 86.3% |
| LMArena Multi-Turn | 1366 | 1450 |
| LiveBench Language | — | 80.2% |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-5.1?
GPT-5.1 is the stronger model overall, scoring 49.0 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 20× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-5.1?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-5.1 lists at $1.25 and $10.
Is Gemini 2.5 Flash-Lite or GPT-5.1 better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-5.1 share?
30 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-5.1 has 63.