Gemini 3.1 Pro Preview vs Qwen3.5-27B
Updated October 21, 2026. 53 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 53 shared
Decision reading
Pick Gemini 3.1 Pro Preview for coding: it scores 35.3 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.
Pick Qwen3.5-27B when output tokens cost 5.6x less.
Model AGemini 3.1 Pro PreviewGoogle35.3/1001 independent benchmark$0.99 per solved taskModel BQwen3.5-27BQwen22.6/1001 independent benchmarkNo cost per solved task
- Shared results
- 53
- Gemini 3.1 Pro Preview only
- 78
- Qwen3.5-27B only
- 0
- Like-for-like categories
- 7 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
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview scores 35.3 against 22.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 22.9.
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
No call
Only Gemini 3.1 Pro Preview has a Design Arena: websites result, 1234.
Directional only
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-27B
Gemini 3.1 Pro Preview $0.0080, Qwen3.5-27B $0.0014 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 35.3 from 1 benchmark, Qwen3.5-27B 22.6 from 1 benchmark.
- Widest category
- Coding, 18.1 points apart on average over 8 shared benchmarks.
- Widest single gap
- WeirdML: Gemini 3.1 Pro Preview 72.1% against Qwen3.5-27B 39.5%, 32.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against Qwen3.5-27B $2.16 per million output tokens, 5.6x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, Qwen3.5-27B 262K.
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 | Qwen3.5-27B | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 29 | 0 | ||
| All shared boards | 53 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1358 | Gemini 3.1 Pro Preview |
| 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% | 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 |
| SciCode | 58.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 32.6% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | 39.5% | Gemini 3.1 Pro Preview |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 349.4 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1427 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1431 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | 1346 | Gemini 3.1 Pro Preview |
| LMArena WebDev: HTML | 1490 | 1386 | 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 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 22.9 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 1055 | 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 | 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% | 93.9% | Gemini 3.1 Pro Preview |
| APEX-Agents | 35.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 |
| Vending-Bench 2 | $911 | $202 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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% | 85.8% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 23.9% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | 51.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 34.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1415 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1427 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1429 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1249 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1256 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| AIME | 98.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 | 1429 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1429 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | 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% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1437 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1405 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1399 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: UI components | 1226 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: game dev | 1203 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: data viz | 1209 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: 3D | 1234 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: all code categories | 1231 | Not measured | Only Gemini 3.1 Pro Preview measured |
| 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 index290
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | 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% | 75.6% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 82.0% | 77.7% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | 82.4% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 34.0% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview 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 | 1409 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1393 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1362 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1241 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1390 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1478 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1392 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1346 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1359 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1410 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1407 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1390 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1375 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1410 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1413 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1380 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1363 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1246 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | 1301 | Gemini 3.1 Pro Preview |
| LMArena Vision: reading text | 1304 | 1246 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | 1227 | Gemini 3.1 Pro Preview |
| LMArena Vision: captioning | 1345 | 1170 | Gemini 3.1 Pro Preview |
| LMArena Vision: recognizing things | 1330 | 1210 | Gemini 3.1 Pro Preview |
| LMArena Vision: creative writing | 1324 | 1224 | 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 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.5-27B | 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
Qwen3.5-27B$0.0014Fits in one request
Qwen3.5-27B costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
Qwen3.5-27B$0.020Fits in one request
Qwen3.5-27B costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
Qwen3.5-27B$0.076Fits in one request
Qwen3.5-27B 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 | Qwen3.5-27B |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | February 25, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.27 |
| Output $/Mtok | $12.00 | $2.16 |
| Coding index | 35.3 | 22.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.99 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than Qwen3.5-27B for coding?
Pick Gemini 3.1 Pro Preview for coding: it scores 35.3 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when output tokens cost 5.6x less.
Which is cheaper, Gemini 3.1 Pro Preview or Qwen3.5-27B?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Qwen3.5-27B costs $0.27 and $2.16. 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 Qwen3.5-27B?
Gemini 3.1 Pro Preview, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.1 Pro Preview vs Qwen3.5-27B comparison based on?
53 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 Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.