Gemini 3.1 Pro Preview vs gpt-oss-120b
Gemini 3.1 Pro Preview leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 29.7 to 11.6, and gpt-oss-120b costs 24.0x less per output token ($0.50 vs $12.00 per million). Updated October 22, 2026; 67 benchmarks have a result for both.
vs boards won of 67 shared
Gemini 3.1 Pro Preview or gpt-oss-120b: which to pick
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.
Pick gpt-oss-120b for output tokens 24.0x cheaper ($0.50 vs $12.00 per million) and a lower cost per solved task ($0.51 against $0.99).
Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
- Shared results
- 67
- Gemini 3.1 Pro Preview only
- 66
- gpt-oss-120b only
- 14
- 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
No call
Only Gemini 3.1 Pro Preview has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 8.2 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 78.5%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 92.6%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1233 against 967.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
Gemini 3.1 Pro Preview $0.0080, gpt-oss-120b $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
gpt-oss-120b
Gemini 3.1 Pro Preview $0.99, gpt-oss-120b $0.51.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, gpt-oss-120b not benchmarked.
- Widest category
- Web design, 33.3 points apart on average over 6 shared benchmarks.
- Widest single gap
- Terminal-Bench: Gemini 3.1 Pro Preview 80.2% against gpt-oss-120b 18.7%, 61.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against gpt-oss-120b $0.50 per million output tokens, 24.0x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, gpt-oss-120b 131K.
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-oss-120b | Ties |
|---|---|---|---|---|
| Coding | 11 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 10 | 0 | ||
| Web design | 6 | 0 | ||
| General | 21 | 0 | ||
| All shared boards | 67 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 41.8% | Only gpt-oss-120b measured |
| SWE-bench Verified | Not measured | 26.0% | Only gpt-oss-120b measured |
| LMArena WebDev | 1447 | Not measured | Only Gemini 3.1 Pro Preview measured |
| AA Coding Index | 68.8 | 30.4 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | 88.5% | 83.2% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 78.8% | 33.6% | 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% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 87.8% | Only gpt-oss-120b measured |
| SciCode | 58.7% | 34.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 23.5% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | 18.7% | Gemini 3.1 Pro Preview |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | 48.2% | Gemini 3.1 Pro Preview |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 575.6 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1379 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1387 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: HTML | 1490 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena WebDev: from an image | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 14.3% | 7.7% | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 11.6 | Gemini 3.1 Pro Preview |
| Epoch Capabilities Index | Not measured | 139.8 | Only gpt-oss-120b measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | 3.7 | Gemini 3.1 Pro Preview |
| Design Arena: agents building web apps | 1125 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | 1068 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | 1094 | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 |
| 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% | 65.8% | Gemini 3.1 Pro Preview |
| APEX-Agents | 35.1% | 4.4% | Gemini 3.1 Pro Preview |
| METR time horizons | 77.0% | 56.6% | Gemini 3.1 Pro Preview |
| 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 |
| Vending-Bench 2 | $911 | -$22 | Gemini 3.1 Pro Preview |
| BrowseComp-Plus | Not measured | 67.0% | Only gpt-oss-120b measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | 78.5% | 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% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 78.2% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 19.6% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | 75.8% | Gemini 3.1 Pro Preview |
| ARC-AGI | 98.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | 79.6% | 22.1% | Gemini 3.1 Pro Preview |
| Chess puzzles | 51.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 34.0% | 2.0% | Gemini 3.1 Pro Preview |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1364 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1356 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1368 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | 1316 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Kagi LLM Benchmark | Not measured | 58.6% | Only gpt-oss-120b measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| AIME | 98.1% | 92.6% | Gemini 3.1 Pro Preview |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only gpt-oss-120b measured |
| MGSM (Vals AI) | Not measured | 92.0% | Only gpt-oss-120b measured |
| AA Math Index | Not measured | 93.4 | Only gpt-oss-120b measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 93.4% | Only gpt-oss-120b measured |
| OTIS Mock AIME | 95.6% | 88.9% | Gemini 3.1 Pro Preview |
| FrontierMath, tiers 1 to 3 | 59.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProofBench | 26.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | 1486 | 1389 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1386 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 79.2% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | 75.9% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | 64.8% | 48.8% | Gemini 3.1 Pro Preview |
| CorpFin (Vals AI) | 64.5% | 58.2% | Gemini 3.1 Pro Preview |
| TaxEval (Vals AI) | 72.9% | 71.6% | Gemini 3.1 Pro Preview |
| MortgageTax (Vals AI) | 69.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | 96.4% | 91.4% | Gemini 3.1 Pro Preview |
| MedCode (Vals AI) | 59.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.8% | Only gpt-oss-120b measured |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1382 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1388 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1355 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1359 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | 67.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| Design Arena: websites | 1233 | 967 | Gemini 3.1 Pro Preview |
| Design Arena: UI components | 1224 | 924 | Gemini 3.1 Pro Preview |
| Design Arena: game dev | 1202 | 992 | Gemini 3.1 Pro Preview |
| Design Arena: data viz | 1209 | 987 | Gemini 3.1 Pro Preview |
| Design Arena: 3D | 1234 | 901 | Gemini 3.1 Pro Preview |
| Design Arena: all code categories | 1231 | 962 | Gemini 3.1 Pro Preview |
| 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 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | 76.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | 69.0% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 82.0% | 52.0% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | 76.3% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 22.1% | Gemini 3.1 Pro Preview |
| Fiction.LiveBench | Not measured | 44.4% | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | Not measured | 77.1% | Only gpt-oss-120b measured |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Surface Evolver Bench | Not measured | 25.0% | Only gpt-oss-120b measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 1366 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1318 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1274 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | 1478 | 1375 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1351 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1385 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1353 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1331 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1282 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1370 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1389 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1343 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1353 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1340 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1319 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1306 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1292 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | 1364 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | 1304 | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 5 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-120b | 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-oss-120b$0.0003Fits in one request
gpt-oss-120b costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
gpt-oss-120b$0.0065Fits in one request
gpt-oss-120b costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
gpt-oss-120b$0.025Exceeds the context window
gpt-oss-120b 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-oss-120b |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | August 5, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $2.00 | $0.10 |
| Output $/Mtok | $12.00 | $0.50 |
| Coding index | 32.3 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $0.99 | $0.51 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than gpt-oss-120b for coding?
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 24.0x cheaper ($0.50 vs $12.00 per million) and a lower cost per solved task ($0.51 against $0.99).
Which is cheaper, Gemini 3.1 Pro Preview or gpt-oss-120b?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and gpt-oss-120b $0.51.
Which has the bigger context window, Gemini 3.1 Pro Preview or gpt-oss-120b?
Gemini 3.1 Pro Preview, with 1.05M tokens against 131K.
How many benchmarks is the Gemini 3.1 Pro Preview vs gpt-oss-120b comparison based on?
67 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-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.