Gemini 3 Flash Preview vs GPT-6.1 Sol
GPT-6.1 Sol leads Gemini 3 Flash Preview on coding, 82.4 to 43.7 on the Vibe Coding Index, and Gemini 3 Flash Preview costs 3.3x less per output token ($3.00 vs $10.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.
Gemini 3 Flash 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 43.7 for Gemini 3 Flash Preview.
Pick Gemini 3 Flash Preview for output tokens 3.3x cheaper ($3.00 vs $10.00 per million) and work measured by SciCode or MedCode (Vals AI), where it leads.
- Shared results
- 34
- Gemini 3 Flash Preview only
- 37
- GPT-6.1 Sol only
- 64
- 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 43.7.
2 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 26.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3 Flash Preview has a GPQA Diamond result, 87.9%.
Directional only
Math
AIME
No call
Only Gemini 3 Flash Preview has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3 Flash Preview has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1196.
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
Gemini 3 Flash Preview
Gemini 3 Flash Preview $0.0020, 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 Flash Preview has the number, $0.37.
Directional only
At a glance
- Coding index
- Gemini 3 Flash Preview 43.7 from 2 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
- Widest category
- Math, 53.5 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Gemini 3 Flash Preview 15.0% against GPT-6.1 Sol 99.0%, 84.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3 Flash Preview $3.00 against GPT-6.1 Sol $10.00 per million output tokens, 3.3x apart.
- Context window
- Gemini 3 Flash 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 Flash Preview | Bars | GPT-6.1 Sol | Ties |
|---|---|---|---|---|
| Coding | 1 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 6 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 4 | ||
| Knowledge | 1 | 2 | ||
| Web design | 0 | 4 | ||
| General | 1 | 4 | ||
| All shared boards | 3 | 31 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| SWE-bench Verified | 75.8% | Not measured | Only Gemini 3 Flash Preview measured |
| LiveBench coding | Not measured | 96.0% | Only GPT-6.1 Sol measured |
| LMArena WebDev | Not measured | 1753 | Only GPT-6.1 Sol measured |
| LiveCodeBench (Vals AI) | 85.6% | Not measured | Only Gemini 3 Flash Preview measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only Gemini 3 Flash Preview measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 55.0% | Only GPT-6.1 Sol measured |
| Vibe Code Bench (Vals AI) | 20.2% | 88.9% | GPT-6.1 Sol |
| Code migration (Vals AI) | 6.4% | 65.1% | GPT-6.1 Sol |
| ProgramBench (Vals AI) | 0.0% | 3.0% | GPT-6.1 Sol |
| IOI (Vals AI) | Not measured | 96.9% | Only GPT-6.1 Sol measured |
| Terminal-Bench 2.1 (Vals AI) | 53.9% | Not measured | Only Gemini 3 Flash Preview measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.5% | Only GPT-6.1 Sol measured |
| CyberBench (Vals AI) | Not measured | 39.3% | Only GPT-6.1 Sol measured |
| LiveCodeBench (Artificial Analysis run) | 90.8% | Not measured | Only Gemini 3 Flash Preview measured |
| SciCode | Not measured | 55.8% | Only GPT-6.1 Sol measured |
| Terminal-Bench Hard (Artificial Analysis run) | 38.6% | Not measured | Only Gemini 3 Flash Preview measured |
| Terminal-Bench | 64.3% | Not measured | Only Gemini 3 Flash Preview measured |
| FrontierCode | Not measured | 50.2% | Only GPT-6.1 Sol measured |
| GSO-Bench | 9.8% | Not measured | Only Gemini 3 Flash Preview measured |
| WeirdML | 61.6% | Not measured | Only Gemini 3 Flash Preview measured |
| ALE-Bench | 1367.2 | 2743.8 | GPT-6.1 Sol |
| LMArena Text: coding | Not measured | 1478 | Only GPT-6.1 Sol measured |
| LMArena Text: software and IT | Not measured | 1476 | Only GPT-6.1 Sol measured |
| LMArena WebDev: React | Not measured | 1754 | Only GPT-6.1 Sol measured |
| LMArena WebDev: HTML | Not measured | 1800 | Only GPT-6.1 Sol measured |
| LMArena WebDev: from an image | Not measured | 1702 | Only GPT-6.1 Sol measured |
| SciCode | 12.7% | 9.2% | Gemini 3 Flash Preview |
| 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 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.3 | 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 index06
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1111 | 1306 | GPT-6.1 Sol |
| Design Arena: agents building full-stack apps | 1063 | Not measured | Only Gemini 3 Flash Preview measured |
| Design Arena: agents building mobile apps | 1090 | 1213 | GPT-6.1 Sol |
| Design Arena: agents building Android apps | 1051 | Not measured | Only Gemini 3 Flash Preview measured |
| Design Arena: agents building Godot games | 1161 | Not measured | Only Gemini 3 Flash Preview measured |
| Design Arena: PowerPoint slides | 1036 | Not measured | Only Gemini 3 Flash 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) | Not measured | 50.8% | Only GPT-6.1 Sol measured |
| Finance Agent (Vals AI) | 42.5% | 52.0% | GPT-6.1 Sol |
| Tax Agent Bench (Vals AI) | 11.8% | 21.8% | GPT-6.1 Sol |
| Legal Research Bench (Vals AI) | 18.3% | 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) | 26.0% | 70.8% | GPT-6.1 Sol |
| BioMysteryBench (Vals AI) | Not measured | 79.6% | Only GPT-6.1 Sol measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 52.9% | Only GPT-6.1 Sol measured |
| Vals Science Index | Not measured | 59.6% | Only GPT-6.1 Sol measured |
| Robo-bench (Vals AI) | Not measured | 28.3% | Only GPT-6.1 Sol measured |
| τ²-Bench Telecom | 80.4% | Not measured | Only Gemini 3 Flash Preview measured |
| APEX-Agents | Not measured | 60.0% | Only GPT-6.1 Sol measured |
| BALROG | 48.1% | Not measured | Only Gemini 3 Flash Preview measured |
| DeepResearch Bench | 49.8% | Not measured | Only Gemini 3 Flash Preview measured |
| SpireClimb | Not measured | 24.7% | Only GPT-6.1 Sol measured |
| Vending-Bench 2 | $3,635 | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| GPQA Diamond | 87.9% | Not measured | Only Gemini 3 Flash Preview measured |
| LiveBench reasoning | Not measured | 92.6% | Only GPT-6.1 Sol measured |
| MysteryMechanism (Vals AI) | Not measured | 46.4% | Only GPT-6.1 Sol measured |
| MMMU Pro (Vals AI) | 87.6% | Not measured | Only Gemini 3 Flash Preview measured |
| GPQA Diamond (Artificial Analysis run) | 89.8% | Not measured | Only Gemini 3 Flash Preview measured |
| Humanity's Last Exam (Artificial Analysis run) | 36.6% | 52.9% | GPT-6.1 Sol |
| GPQA Diamond (Epoch AI run) | 89.4% | 95.4% | GPT-6.1 Sol |
| ARC-AGI | 84.7% | 98.5% | GPT-6.1 Sol |
| ARC-AGI-2 | 33.6% | 94.2% | GPT-6.1 Sol |
| SimpleBench | 61.1% | Not measured | Only Gemini 3 Flash Preview measured |
| Chess puzzles | 39.0% | 68.0% | GPT-6.1 Sol |
| Mystery game puzzles | 26.0% | 80.0% | GPT-6.1 Sol |
| EBR-bench | Not measured | 54.3% | Only GPT-6.1 Sol measured |
| VPCT | 72.6% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena Text: hard prompts | Not measured | 1463 | Only GPT-6.1 Sol measured |
| LMArena Text: expert | Not measured | 1489 | Only GPT-6.1 Sol measured |
| LMArena Text: hard prompts in English | Not measured | 1465 | Only GPT-6.1 Sol measured |
| LMArena Vision: diagrams | Not measured | 1306 | Only GPT-6.1 Sol measured |
| LMArena Vision: homework | Not measured | 1356 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only Gemini 3 Flash Preview measured |
| MGSM (Vals AI) | 93.3% | Not measured | Only Gemini 3 Flash Preview measured |
| AA Math Index | 97.0 | Not measured | Only Gemini 3 Flash Preview measured |
| AIME 2025 (Artificial Analysis run) | 97.0% | Not measured | Only Gemini 3 Flash Preview measured |
| OTIS Mock AIME | 95.6% | 100.0% | GPT-6.1 Sol |
| FrontierMath, tiers 1 to 3 | 51.2% | 93.7% | GPT-6.1 Sol |
| FrontierMath, tier 4 | 17.1% | 100.0% | GPT-6.1 Sol |
| ProofBench | 15.0% | 99.0% | GPT-6.1 Sol |
| LMArena Text: math | Not measured | 1489 | Only GPT-6.1 Sol measured |
| LMArena Text: mathematical work | Not measured | 1513 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| MMLU Pro | 88.6% | Not measured | Only Gemini 3 Flash Preview measured |
| LegalBench (Vals AI) | 86.9% | Not measured | Only Gemini 3 Flash Preview measured |
| CaseLaw (Vals AI) | 55.8% | Not measured | Only Gemini 3 Flash Preview measured |
| CorpFin (Vals AI) | 66.4% | Not measured | Only Gemini 3 Flash Preview measured |
| TaxEval (Vals AI) | 73.9% | Not measured | Only Gemini 3 Flash Preview measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3 Flash Preview measured |
| MedQA (Vals AI) | 95.8% | Not measured | Only Gemini 3 Flash Preview measured |
| MedCode (Vals AI) | 55.9% | 48.8% | Gemini 3 Flash Preview |
| MMLU Pro (Artificial Analysis run) | 89.0% | Not measured | Only Gemini 3 Flash Preview measured |
| SimpleQA Verified | 66.8% | 73.9% | GPT-6.1 Sol |
| GeoBench | 88.0% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena Text: science | Not measured | 1444 | Only GPT-6.1 Sol measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only GPT-6.1 Sol measured |
| LMArena Text: legal and government | Not measured | 1471 | Only GPT-6.1 Sol measured |
| LMArena Text: business and finance | Not measured | 1445 | Only GPT-6.1 Sol measured |
| FACTS Benchmark Suite | 63.4% | 75.3% | GPT-6.1 Sol |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3 Flash Preview | GPT-6.1 Sol | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1321 | GPT-6.1 Sol |
| Design Arena: UI components | Not measured | 1317 | Only GPT-6.1 Sol measured |
| Design Arena: game dev | 1166 | 1389 | GPT-6.1 Sol |
| Design Arena: data viz | Not measured | 1281 | Only GPT-6.1 Sol measured |
| Design Arena: 3D | 1183 | 1460 | GPT-6.1 Sol |
| Design Arena: all code categories | 1189 | 1345 | GPT-6.1 Sol |
| LiveBench design | Not measured | 82.1% | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Gemini 3 Flash 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) | Not measured | 59.3% | Only GPT-6.1 Sol measured |
| SAGE (Vals AI) | 51.8% | 46.5% | Gemini 3 Flash Preview |
| MedScribe (Vals AI) | 69.9% | 86.5% | GPT-6.1 Sol |
| Vals Multimodal Index | 52.2% | Not measured | Only Gemini 3 Flash Preview measured |
| IFBench | 78.0% | Not measured | Only Gemini 3 Flash Preview measured |
| Long context reasoning (AA-LCR) | 78.0% | 84.0% | GPT-6.1 Sol |
| DTBench | 89.1% | 96.5% | GPT-6.1 Sol |
| LMCA | 43.1% | 62.8% | GPT-6.1 Sol |
| Furniture assembly | Not measured | 80.0% | Only GPT-6.1 Sol measured |
| LMArena Text | Not measured | 1443 | Only GPT-6.1 Sol measured |
| LMArena Text: instruction following | Not measured | 1466 | Only GPT-6.1 Sol measured |
| LMArena Text: creative writing | Not measured | 1425 | Only GPT-6.1 Sol measured |
| LMArena Vision | Not measured | 1288 | Only GPT-6.1 Sol measured |
| LMArena Text: English | Not measured | 1450 | Only GPT-6.1 Sol measured |
| LMArena Text: non-English | Not measured | 1433 | Only GPT-6.1 Sol measured |
| LMArena Text: Chinese | Not measured | 1487 | Only GPT-6.1 Sol measured |
| LMArena Text: French | Not measured | 1460 | Only GPT-6.1 Sol measured |
| LMArena Text: Spanish | Not measured | 1439 | Only GPT-6.1 Sol measured |
| LMArena Text: Russian | Not measured | 1457 | Only GPT-6.1 Sol measured |
| LMArena Text: multi-turn | Not measured | 1442 | Only GPT-6.1 Sol measured |
| LMArena Text: longer queries | Not measured | 1458 | Only GPT-6.1 Sol measured |
| LMArena Text: writing and language | Not measured | 1444 | Only GPT-6.1 Sol measured |
| LMArena Text: entertainment and media | Not measured | 1426 | Only GPT-6.1 Sol measured |
| LMArena Vision: English | Not measured | 1274 | Only GPT-6.1 Sol measured |
| LMArena Vision: reading text | Not measured | 1289 | Only GPT-6.1 Sol measured |
| LMArena Vision: creative writing | Not measured | 1301 | Only GPT-6.1 Sol measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3 Flash 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 Flash Preview costs less
Repository review
50K input + 3K output tokens
Gemini 3 Flash Preview costs less
Agent loop
200K input + 10K output tokens
Gemini 3 Flash Preview 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 Flash Preview | OpenAI GPT-6.1 Sol |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | December 17, 2025 | September 29, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.50 | $2.00 |
| Output $/Mtok | $3.00 | $10.00 |
| Coding index | 43.7 | 82.4 |
| Independent measurements behind it | 2 | 5 |
| Cost per solved task | $0.37 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3 Flash 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 43.7 for Gemini 3 Flash Preview. Pick Gemini 3 Flash Preview for output tokens 3.3x cheaper ($3.00 vs $10.00 per million) and work measured by SciCode or MedCode (Vals AI), where it leads.
Which is cheaper, Gemini 3 Flash Preview or GPT-6.1 Sol?
Gemini 3 Flash Preview costs $0.50 per million input tokens and $3.00 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3 Flash Preview only.
Which has the bigger context window, Gemini 3 Flash Preview or GPT-6.1 Sol?
GPT-6.1 Sol, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3 Flash Preview vs GPT-6.1 Sol comparison based on?
34 benchmarks have a result for both models as of October 22, 2026. Gemini 3 Flash Preview's coding index rests on 2 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.