Gemini 3.1 Pro Preview vs GPT-5.2
Updated October 21, 2026. 100 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5.2 for coding: it scores 58.9 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview when output tokens cost 1.2x less, or when a solved task costs $0.99 against $1.91.
- Shared results
- 100
- Gemini 3.1 Pro Preview only
- 31
- GPT-5.2 only
- 11
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
GPT-5.2
GPT-5.2 scores 58.9 against 35.3.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.2
GPT-5.2 leads, 30.4 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 91.7%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 96.9%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 86.2%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1234 against 1196.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview $0.0080, GPT-5.2 $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview $0.99, GPT-5.2 $1.91.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 35.3 from 1 benchmark, GPT-5.2 58.9 from 2 benchmarks.
- Widest category
- General, 10.1 points apart on average over 34 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Gemini 3.1 Pro Preview 73.5% against GPT-5.2 37.1%, 36.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against GPT-5.2 $14.00 per million output tokens, 1.2x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, GPT-5.2 400K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 3.1 Pro Preview | Bars | GPT-5.2 | Ties |
|---|---|---|---|---|
| Coding | 8 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 6 | 2 | 1 tie | |
| Reasoning | 15 | 1 | ||
| Math | 4 | 3 | ||
| Knowledge | 10 | 3 | ||
| Web design | 8 | 0 | ||
| General | 30 | 4 | ||
| All shared boards | 81 | 18 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index84
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 72.8% | Only GPT-5.2 measured |
| SWE-bench Multilingual | Not measured | 66.7% | Only GPT-5.2 measured |
| LMArena WebDev | 1447 | 1417 | Gemini 3.1 Pro Preview |
| AA Coding Index | 68.8 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Vals AI) | 88.5% | 85.4% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 78.8% | 75.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | 32.0% | 53.5% | GPT-5.2 |
| Code migration (Vals AI) | 17.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | 51.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GPT-5.2 measured |
| SciCode | 58.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 47.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | 64.9% | Gemini 3.1 Pro Preview |
| GSO-Bench | 22.6% | 27.5% | GPT-5.2 |
| WeirdML | 72.1% | 72.2% | GPT-5.2 |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 1293.5 | GPT-5.2 |
| LMArena Text: coding | 1484 | 1442 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1434 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: HTML | 1490 | 1427 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 30.4 | GPT-5.2 |
| Epoch Capabilities Index | Not measured | 153.7 | Only GPT-5.2 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | 1125 | 1086 | Gemini 3.1 Pro Preview |
| Design Arena: agents building full-stack apps | 1068 | 1043 | Gemini 3.1 Pro Preview |
| Design Arena: agents building mobile apps | 1094 | 1094 | Tie |
| Design Arena: agents building Android apps | 1055 | 1064 | GPT-5.2 |
| Design Arena: agents building Godot games | 1236 | 1142 | Gemini 3.1 Pro Preview |
| Design Arena: agents building games | 1114 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1153 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1064 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | 43.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Tax Agent Bench (Vals AI) | 9.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Excel Modeling Benchmark (Vals AI) | 52.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | 84.8% | Gemini 3.1 Pro Preview |
| APEX-Agents | 35.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | 77.0% | 75.3% | Gemini 3.1 Pro Preview |
| Remote Labor Index | Not measured | 2.5% | Only GPT-5.2 measured |
| GDPval | Not measured | 49.7% | Only GPT-5.2 measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | 41.1% | Gemini 3.1 Pro Preview |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | $911 | $3,591 | GPT-5.2 |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index151
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | 91.7% | Gemini 3.1 Pro Preview |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | 86.7% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 90.3% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 37.7% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | 91.4% | Gemini 3.1 Pro Preview |
| ARC-AGI | 98.0% | 86.2% | Gemini 3.1 Pro Preview |
| ARC-AGI-2 | 77.1% | 52.9% | Gemini 3.1 Pro Preview |
| SimpleBench | 79.6% | 45.8% | Gemini 3.1 Pro Preview |
| Chess puzzles | 51.0% | 48.0% | Gemini 3.1 Pro Preview |
| Mystery game puzzles | 34.0% | 23.0% | Gemini 3.1 Pro Preview |
| EBR-bench | 14.3% | 23.0% | GPT-5.2 |
| VPCT | Not measured | 84.0% | Only GPT-5.2 measured |
| LMArena Text: hard prompts | 1485 | 1428 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1445 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1431 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1265 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1276 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| AIME | 98.1% | 96.9% | Gemini 3.1 Pro Preview |
| MGSM (Vals AI) | Not measured | 94.0% | Only GPT-5.2 measured |
| AA Math Index | Not measured | 99.0 | Only GPT-5.2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 99.0% | Only GPT-5.2 measured |
| OTIS Mock AIME | 95.6% | 96.1% | GPT-5.2 |
| FrontierMath, tiers 1 to 3 | 59.6% | 67.4% | GPT-5.2 |
| FrontierMath, tier 4 | 26.8% | 31.7% | GPT-5.2 |
| ProofBench | 26.0% | 15.0% | Gemini 3.1 Pro Preview |
| LMArena Text: math | 1486 | 1440 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1442 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 86.2% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | 82.8% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | 64.8% | 66.0% | GPT-5.2 |
| CorpFin (Vals AI) | 64.5% | 65.9% | GPT-5.2 |
| TaxEval (Vals AI) | 72.9% | 75.8% | GPT-5.2 |
| MortgageTax (Vals AI) | 69.4% | 67.1% | Gemini 3.1 Pro Preview |
| MedQA (Vals AI) | 96.4% | 94.1% | Gemini 3.1 Pro Preview |
| MedCode (Vals AI) | 59.1% | 49.8% | Gemini 3.1 Pro Preview |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.4% | Only GPT-5.2 measured |
| SimpleQA Verified | 73.5% | 37.1% | Gemini 3.1 Pro Preview |
| LMArena Text: science | 1497 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1427 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1414 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1196 | Gemini 3.1 Pro Preview |
| Design Arena: UI components | 1226 | 1190 | Gemini 3.1 Pro Preview |
| Design Arena: game dev | 1203 | 1196 | Gemini 3.1 Pro Preview |
| Design Arena: data viz | 1209 | 1202 | Gemini 3.1 Pro Preview |
| Design Arena: 3D | 1234 | 1079 | Gemini 3.1 Pro Preview |
| Design Arena: all code categories | 1231 | 1171 | Gemini 3.1 Pro Preview |
| Design Arena: SVG | 1285 | 1137 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1270 | 1153 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index304
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | 49.3% | GPT-5.2 |
| MedScribe (Vals AI) | 76.1% | 84.4% | GPT-5.2 |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | 75.4% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 82.0% | 82.7% | GPT-5.2 |
| DTBench | 97.1% | 90.9% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 43.9% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | 18.2% | Gemini 3.1 Pro Preview |
| Furniture assembly | 26.7% | 38.3% | GPT-5.2 |
| ExploitBench | 26.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | 16.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1480 | 1416 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1409 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1376 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1246 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1422 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1405 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1447 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1444 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1420 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1374 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1454 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1413 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1415 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1426 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1419 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1413 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1392 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1378 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1243 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | 1305 | Gemini 3.1 Pro Preview |
| LMArena Vision: reading text | 1304 | 1257 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | 1227 | Gemini 3.1 Pro Preview |
| LMArena Vision: captioning | 1345 | 1267 | Gemini 3.1 Pro Preview |
| LMArena Vision: recognizing things | 1330 | 1232 | Gemini 3.1 Pro Preview |
| LMArena Vision: creative writing | 1324 | 1225 | Gemini 3.1 Pro Preview |
| LMArena Document | 1444 | 1405 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.2 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 3.1 Pro Preview costs less
Repository review
50K input + 3K output tokens
GPT-5.2 costs less
Agent loop
200K input + 10K output tokens
GPT-5.2 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 3.1 Pro Preview | OpenAI GPT-5.2 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | February 19, 2026 | December 10, 2025 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $2.00 | $1.75 |
| Output $/Mtok | $12.00 | $14.00 |
| Coding index | 35.3 | 58.9 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.99 | $1.91 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than GPT-5.2 for coding?
Pick GPT-5.2 for coding: it scores 58.9 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview when output tokens cost 1.2x less, or when a solved task costs $0.99 against $1.91.
Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.2?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and GPT-5.2 $1.91.
Which has the bigger context window, Gemini 3.1 Pro Preview or GPT-5.2?
Gemini 3.1 Pro Preview, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 3.1 Pro Preview vs GPT-5.2 comparison based on?
100 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview's coding index rests on 1 independent benchmark and GPT-5.2's on 2. Where only one model has a result, the page says so instead of naming a winner.