Gemini 3.1 Pro Preview vs GPT-6.1 Sol
GPT-6.1 Sol leads Gemini 3.1 Pro Preview on coding, 82.4 to 32.3 on the Vibe Coding Index, and GPT-6.1 Sol costs 1.2x less per output token ($10.00 vs $12.00 per million). Updated October 22, 2026; 82 benchmarks have a result for both.
vs boards won of 82 shared
Gemini 3.1 Pro Preview or GPT-6.1 Sol: which to pick
Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview for work measured by SciCode or LMArena Text: coding, where it leads.
Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved taskModel BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task
- Shared results
- 82
- Gemini 3.1 Pro Preview only
- 51
- GPT-6.1 Sol only
- 16
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
GPT-6.1 Sol
GPT-6.1 Sol scores 82.4 against 32.3.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 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
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Pro Preview has a MMLU Pro result, 91.0%.
Directional only
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1233.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Sol has a Vals Index result, 63.9%.
Directional only
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6.1 Sol
Gemini 3.1 Pro Preview $0.0080, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
- Widest category
- Math, 31.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Gemini 3.1 Pro Preview 26.8% against GPT-6.1 Sol 100.0%, 73.2 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against GPT-6.1 Sol $10.00 per million output tokens, 1.2x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, GPT-6.1 Sol 1.05M.
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-6.1 Sol | Ties |
|---|---|---|---|---|
| Coding | 4 | 10 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 11 | ||
| Reasoning | 3 | 10 | ||
| Math | 0 | 6 | ||
| Knowledge | 5 | 2 | ||
| Web design | 0 | 6 | ||
| General | 18 | 6 | ||
| All shared boards | 30 | 52 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index410
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 96.0% | Only GPT-6.1 Sol measured |
| LMArena WebDev | 1447 | 1753 | GPT-6.1 Sol |
| AA Coding Index | 68.8 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveCodeBench (Vals AI) | 88.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | 78.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | 55.0% | GPT-6.1 Sol |
| Vibe Code Bench (Vals AI) | 32.0% | 88.9% | GPT-6.1 Sol |
| Code migration (Vals AI) | 17.3% | 65.1% | GPT-6.1 Sol |
| ProgramBench (Vals AI) | 0.0% | 3.0% | GPT-6.1 Sol |
| IOI (Vals AI) | 51.8% | 96.9% | GPT-6.1 Sol |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.5% | Only GPT-6.1 Sol measured |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CyberBench (Vals AI) | Not measured | 39.3% | Only GPT-6.1 Sol measured |
| SciCode | 58.7% | 55.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench | 80.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierCode | Not measured | 50.2% | Only GPT-6.1 Sol measured |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 2743.8 | GPT-6.1 Sol |
| LMArena Text: coding | 1484 | 1478 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1476 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | 1754 | GPT-6.1 Sol |
| LMArena WebDev: HTML | 1490 | 1800 | GPT-6.1 Sol |
| LMArena WebDev: from an image | 1481 | 1702 | GPT-6.1 Sol |
| SciCode | 14.3% | 9.2% | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 51.8 | GPT-6.1 Sol |
| Epoch Capabilities Index | Not measured | 168.4 | Only GPT-6.1 Sol measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index011
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | 1125 | 1306 | GPT-6.1 Sol |
| Design Arena: agents building full-stack apps | 1068 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | 1094 | 1213 | GPT-6.1 Sol |
| Design Arena: agents building Android apps | 1049 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | 1236 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | 1113 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1103 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1041 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: spreadsheets | Not measured | 1259 | Only GPT-6.1 Sol measured |
| LiveBench research | Not measured | 83.5% | Only GPT-6.1 Sol measured |
| LiveBench browser | Not measured | 88.0% | Only GPT-6.1 Sol measured |
| LiveBench long agentic | Not measured | 73.0% | Only GPT-6.1 Sol measured |
| SREBench (Vals AI) | 0.0% | 50.8% | GPT-6.1 Sol |
| Finance Agent (Vals AI) | 43.0% | 52.0% | GPT-6.1 Sol |
| Tax Agent Bench (Vals AI) | 9.3% | 21.8% | GPT-6.1 Sol |
| Legal Research Bench (Vals AI) | 20.7% | 38.5% | GPT-6.1 Sol |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 6.3% | Only GPT-6.1 Sol measured |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 70.8% | GPT-6.1 Sol |
| BioMysteryBench (Vals AI) | 60.0% | 79.6% | GPT-6.1 Sol |
| Terminal-Bench-Science (Vals AI) | 1.4% | 52.9% | GPT-6.1 Sol |
| Vals Science Index | 27.4% | 59.6% | GPT-6.1 Sol |
| Robo-bench (Vals AI) | Not measured | 28.3% | Only GPT-6.1 Sol measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | 35.1% | 60.0% | GPT-6.1 Sol |
| METR time horizons | 77.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SpireClimb | Not measured | 24.7% | Only GPT-6.1 Sol measured |
| Vending-Bench 2 | $911 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 10 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index310
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench reasoning | Not measured | 92.6% | Only GPT-6.1 Sol measured |
| MysteryMechanism (Vals AI) | 20.7% | 46.4% | GPT-6.1 Sol |
| MMMU Pro (Vals AI) | 88.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 52.9% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | 94.4% | 95.4% | GPT-6.1 Sol |
| ARC-AGI | 98.0% | 98.5% | GPT-6.1 Sol |
| ARC-AGI-2 | 77.1% | 94.2% | GPT-6.1 Sol |
| SimpleBench | 79.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | 51.0% | 68.0% | GPT-6.1 Sol |
| Mystery game puzzles | 34.0% | 80.0% | GPT-6.1 Sol |
| EBR-bench | 14.3% | 54.3% | GPT-6.1 Sol |
| LMArena Text: hard prompts | 1485 | 1463 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1489 | GPT-6.1 Sol |
| LMArena Text: hard prompts in English | 1480 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1306 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1356 | GPT-6.1 Sol |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AIME | 98.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 95.6% | 100.0% | GPT-6.1 Sol |
| FrontierMath, tiers 1 to 3 | 59.6% | 93.7% | GPT-6.1 Sol |
| FrontierMath, tier 4 | 26.8% | 100.0% | GPT-6.1 Sol |
| ProofBench | 26.0% | 99.0% | GPT-6.1 Sol |
| LMArena Text: math | 1486 | 1489 | GPT-6.1 Sol |
| LMArena Text: mathematical work | 1478 | 1513 | GPT-6.1 Sol |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LegalBench (Vals AI) | 87.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | 64.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 64.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| TaxEval (Vals AI) | 72.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MortgageTax (Vals AI) | 69.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | 96.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 59.1% | 48.8% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | 73.9% | GPT-6.1 Sol |
| LMArena Text: science | 1497 | 1444 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1433 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1471 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1445 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | 67.4% | 75.3% | GPT-6.1 Sol |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Design Arena: websites | 1233 | 1321 | GPT-6.1 Sol |
| Design Arena: UI components | 1224 | 1317 | GPT-6.1 Sol |
| Design Arena: game dev | 1202 | 1389 | GPT-6.1 Sol |
| Design Arena: data viz | 1209 | 1281 | GPT-6.1 Sol |
| Design Arena: 3D | 1234 | 1460 | GPT-6.1 Sol |
| Design Arena: all code categories | 1231 | 1345 | GPT-6.1 Sol |
| Design Arena: SVG | 1285 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: ASCII art | 1270 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LiveBench design | Not measured | 82.1% | Only GPT-6.1 Sol measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index186
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Vals Index | Not measured | 63.9% | Only GPT-6.1 Sol measured |
| LiveBench data analysis | Not measured | 82.7% | Only GPT-6.1 Sol measured |
| Public Benefits Bench (Vals AI) | 53.8% | 59.3% | GPT-6.1 Sol |
| SAGE (Vals AI) | 48.7% | 46.5% | Gemini 3.1 Pro Preview |
| MedScribe (Vals AI) | 76.1% | 86.5% | GPT-6.1 Sol |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | 82.0% | 84.0% | GPT-6.1 Sol |
| DTBench | 97.1% | 96.5% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 62.8% | GPT-6.1 Sol |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | 26.7% | 80.0% | GPT-6.1 Sol |
| 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 | 1443 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1466 | GPT-6.1 Sol |
| LMArena Text: creative writing | 1482 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1288 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1450 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1433 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | 1491 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | 1455 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: French | 1487 | 1460 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1439 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1457 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | 1487 | 1442 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1458 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1444 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1426 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1274 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | 1304 | 1289 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | 1345 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | 1330 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | 1324 | 1301 | Gemini 3.1 Pro Preview |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | GPT-6.1 Sol | 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$0.0080Fits in one request
GPT-6.1 Sol$0.0070Fits in one request
GPT-6.1 Sol costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
GPT-6.1 Sol$0.130Fits in one request
GPT-6.1 Sol costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
GPT-6.1 Sol$0.500Fits in one request
GPT-6.1 Sol 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-6.1 Sol |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | February 19, 2026 | September 29, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $12.00 | $10.00 |
| Coding index | 32.3 | 82.4 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | $0.99 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than GPT-6.1 Sol for coding?
Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for work measured by SciCode or LMArena Text: coding, where it leads.
Which is cheaper, Gemini 3.1 Pro Preview or GPT-6.1 Sol?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Gemini 3.1 Pro Preview or GPT-6.1 Sol?
GPT-6.1 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.1 Pro Preview vs GPT-6.1 Sol comparison based on?
82 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and GPT-6.1 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.