Gemini 3.1 Pro Preview vs Qwen3.8 27B
Qwen3.8 27B leads Gemini 3.1 Pro Preview on coding, 74.2 to 32.3 on the Vibe Coding Index, and Qwen3.8 27B costs 4.7x less per output token ($2.55 vs $12.00 per million). Updated October 22, 2026; 74 benchmarks have a result for both.
vs boards won of 74 shared, 2 tied
Gemini 3.1 Pro Preview or Qwen3.8 27B: which to pick
Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview for a lower cost per solved task ($0.99 against $1.26) and a larger context window (1.05M against 1M tokens).
Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
- Shared results
- 74
- Gemini 3.1 Pro Preview only
- 59
- Qwen3.8 27B only
- 11
- Like-for-like categories
- 7 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
Qwen3.8 27B
Qwen3.8 27B scores 74.2 against 32.3.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
Qwen3.8 27B
Qwen3.8 27B leads, 33.7 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 27B
Qwen3.8 27B leads, 45.8 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 88.9%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 84.3%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.1 Pro Preview has a Design Arena: websites result, 1233.
Directional only
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Gemini 3.1 Pro Preview $0.0080, Qwen3.8 27B $0.0017 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, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, Qwen3.8 27B 74.2 from 4 benchmarks.
- Widest category
- Agentic work, 14.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- AA Agentic Index: Gemini 3.1 Pro Preview 8.2 against Qwen3.8 27B 45.8, 37.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against Qwen3.8 27B $2.55 per million output tokens, 4.7x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, Qwen3.8 27B 1M.
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 | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 8 | 6 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 6 | ||
| Reasoning | 11 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 9 | 0 | ||
| General | 25 | 2 | 1 tie | |
| All shared boards | 57 | 15 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index86
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 86.8% | Only Qwen3.8 27B measured |
| LMArena WebDev | 1447 | 1593 | Qwen3.8 27B |
| AA Coding Index | 68.8 | 68.1 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | 88.5% | 84.0% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 78.8% | 86.0% | Qwen3.8 27B |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | 32.0% | 64.8% | Qwen3.8 27B |
| Code migration (Vals AI) | 17.3% | 14.2% | Gemini 3.1 Pro Preview |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 51.8% | 39.1% | Gemini 3.1 Pro Preview |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | 58.4% | Gemini 3.1 Pro Preview |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SkillsBench (Vals AI) | Not measured | 38.1% | Only Qwen3.8 27B measured |
| CyberBench (Vals AI) | Not measured | 67.8% | Only Qwen3.8 27B measured |
| SciCode | 58.7% | 46.6% | 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 |
| 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 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: coding | 1484 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1478 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | 1602 | Qwen3.8 27B |
| LMArena WebDev: HTML | 1490 | 1570 | Qwen3.8 27B |
| LMArena WebDev: from an image | 1481 | 1577 | Qwen3.8 27B |
| SciCode | 14.3% | 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 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 33.7 | Qwen3.8 27B |
| Epoch Capabilities Index | Not measured | 151.7 | Only Qwen3.8 27B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | 45.8 | Qwen3.8 27B |
| 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 |
| LiveBench research | Not measured | 59.4% | Only Qwen3.8 27B measured |
| LiveBench browser | Not measured | 32.0% | Only Qwen3.8 27B measured |
| LiveBench long agentic | Not measured | 27.9% | Only Qwen3.8 27B measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | 43.0% | 48.5% | Qwen3.8 27B |
| Tax Agent Bench (Vals AI) | 9.3% | 30.9% | Qwen3.8 27B |
| Legal Research Bench (Vals AI) | 20.7% | 36.1% | Qwen3.8 27B |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 59.7% | Qwen3.8 27B |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | 0.0% | Gemini 3.1 Pro Preview |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | 35.1% | 47.5% | Qwen3.8 27B |
| 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 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | 88.9% | Gemini 3.1 Pro Preview |
| LiveBench reasoning | Not measured | 80.0% | Only Qwen3.8 27B measured |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | 83.9% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 90.5% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 33.9% | 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% | 87.5% | Gemini 3.1 Pro Preview |
| ARC-AGI-2 | 77.1% | 42.4% | Gemini 3.1 Pro Preview |
| 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 | 1459 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1479 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1461 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1285 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1295 | 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 index30
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 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% | 16.0% | Gemini 3.1 Pro Preview |
| LMArena Text: math | 1486 | 1455 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1458 | 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 index90
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 84.3% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | 82.4% | Gemini 3.1 Pro Preview |
| 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% | 70.8% | Gemini 3.1 Pro Preview |
| MortgageTax (Vals AI) | 69.4% | 64.9% | Gemini 3.1 Pro Preview |
| MedQA (Vals AI) | 96.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 59.1% | 28.7% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1467 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1437 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1447 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1438 | 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 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1233 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: UI components | 1224 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: game dev | 1202 | 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 |
| LiveBench design | Not measured | 75.9% | Only Qwen3.8 27B measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index252
| Benchmark | Gemini 3.1 Pro Preview | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.6% | Only Qwen3.8 27B measured |
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 76.1% | 83.8% | Qwen3.8 27B |
| 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% | 82.0% | Tie |
| DTBench | 97.1% | 88.0% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 41.4% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B 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 | 1440 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1436 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1383 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1269 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1448 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1428 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1501 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1443 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1387 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1384 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1449 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1415 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1439 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1440 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1448 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1405 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1393 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1267 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | 1326 | Gemini 3.1 Pro Preview |
| LMArena Vision: reading text | 1304 | 1281 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | 1235 | Gemini 3.1 Pro Preview |
| 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 | 1237 | 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 | Qwen3.8 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
Qwen3.8 27B$0.0017Fits in one request
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
Qwen3.8 27B$0.029Fits in one request
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
Qwen3.8 27B$0.111Fits in one request
Qwen3.8 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 | Qwen3.8 27B |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | August 14, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $2.00 | $0.425 |
| Output $/Mtok | $12.00 | $2.55 |
| Coding index | 32.3 | 74.2 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | $0.99 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than Qwen3.8 27B for coding?
Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for a lower cost per solved task ($0.99 against $1.26) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Gemini 3.1 Pro Preview or Qwen3.8 27B?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and Qwen3.8 27B $1.26.
Which has the bigger context window, Gemini 3.1 Pro Preview or Qwen3.8 27B?
Gemini 3.1 Pro Preview, with 1.05M tokens against 1M.
How many benchmarks is the Gemini 3.1 Pro Preview vs Qwen3.8 27B comparison based on?
74 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 Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.