Gemini 3.7 Flash vs Qwen3.5-27B
Updated October 21, 2026. 46 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 46 shared
Decision reading
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.
Pick Qwen3.5-27B when output tokens cost 1.7x less.
Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BQwen3.5-27BQwen22.6/1001 independent benchmarkNo cost per solved task
- Shared results
- 46
- Gemini 3.7 Flash only
- 66
- Qwen3.5-27B only
- 7
- Like-for-like categories
- 6 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 3.7 Flash
Gemini 3.7 Flash scores 69.9 against 22.6.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 22.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1304.
Directional only
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-27B
Gemini 3.7 Flash $0.0026, Qwen3.5-27B $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- Gemini 3.7 Flash 69.9 from 2 benchmarks, Qwen3.5-27B 22.6 from 1 benchmark.
- Widest category
- Coding, 25.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Gemini 3.7 Flash 1587 against Qwen3.5-27B 1346, 40.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.7 Flash $3.75 against Qwen3.5-27B $2.16 per million output tokens, 1.7x apart.
- Context window
- Gemini 3.7 Flash 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 3.7 Flash | Bars | Qwen3.5-27B | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 26 | 0 | ||
| All shared boards | 46 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| LiveBench coding | 80.5% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev | 1591 | 1358 | Gemini 3.7 Flash |
| AA Coding Index | 71.5 | Not measured | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Vals AI) | 88.7% | Not measured | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | 80.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | 12.1% | Not measured | Only Gemini 3.7 Flash measured |
| Vibe Code Bench (Vals AI) | 70.4% | Not measured | Only Gemini 3.7 Flash measured |
| Code migration (Vals AI) | 34.8% | Not measured | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | Not measured | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | 65.9% | Not measured | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.7 Flash measured |
| SciCode | 59.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only Qwen3.5-27B measured |
| FrontierCode | 43.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierSWE | 20.3% | Not measured | Only Gemini 3.7 Flash measured |
| WeirdML | Not measured | 39.5% | Only Qwen3.5-27B measured |
| ALE-Bench | 904.3 | 349.4 | Gemini 3.7 Flash |
| LMArena Text: coding | 1499 | 1427 | Gemini 3.7 Flash |
| LMArena Text: software and IT | 1498 | 1431 | Gemini 3.7 Flash |
| LMArena WebDev: React | 1587 | 1346 | Gemini 3.7 Flash |
| LMArena WebDev: HTML | 1593 | 1386 | Gemini 3.7 Flash |
| LMArena WebDev: from an image | 1599 | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 22.9 | Gemini 3.7 Flash |
| Epoch Capabilities Index | 158.0 | Not measured | Only Gemini 3.7 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1224 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | 1208 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | 1230 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | 1247 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | 1264 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | 1235 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | 1028 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench research | 76.5% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench browser | 56.0% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | 28.3% | Not measured | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | 4.6% | Not measured | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | 59.0% | Not measured | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | 22.8% | Not measured | Only Gemini 3.7 Flash measured |
| Legal Research Bench (Vals AI) | 34.6% | Not measured | Only Gemini 3.7 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 71.3% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | 7.1% | Not measured | Only Gemini 3.7 Flash measured |
| τ²-Bench Telecom | Not measured | 93.9% | Only Qwen3.5-27B measured |
| APEX-Agents | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Remote Labor Index | 5.0% | Not measured | Only Gemini 3.7 Flash measured |
| Vending-Bench 2 | Not measured | $202 | Only Qwen3.5-27B measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| GPQA Diamond | 93.9% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench reasoning | 87.8% | Not measured | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | 89.0% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 94.5% | 85.8% | Gemini 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 23.9% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 94.8% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI | 95.5% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | 84.6% | Not measured | Only Gemini 3.7 Flash measured |
| Chess puzzles | 66.0% | Not measured | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | 37.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1495 | 1415 | Gemini 3.7 Flash |
| LMArena Text: expert | 1512 | 1427 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1487 | 1429 | Gemini 3.7 Flash |
| LMArena Vision: diagrams | 1329 | 1249 | Gemini 3.7 Flash |
| LMArena Vision: homework | 1320 | 1256 | Gemini 3.7 Flash |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | 71.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | 36.6% | Not measured | Only Gemini 3.7 Flash measured |
| ProofBench | 58.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: math | 1511 | 1429 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1502 | 1429 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| MMLU Pro | 90.1% | Not measured | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | 87.3% | Not measured | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | 74.7% | Not measured | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | 66.7% | Not measured | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | 53.4% | Not measured | Only Gemini 3.7 Flash measured |
| SimpleQA Verified | 69.2% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1511 | 1437 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1494 | 1425 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1496 | 1405 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1479 | 1399 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1304 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | 1299 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | 1318 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | 1315 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | 1308 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | 1308 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | 1283 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | 1276 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench design | 73.2% | Not measured | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | Gemini 3.7 Flash | Qwen3.5-27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 68.0% | Not measured | Only Gemini 3.7 Flash measured |
| SAGE (Vals AI) | 49.2% | Not measured | Only Gemini 3.7 Flash measured |
| MedScribe (Vals AI) | 83.9% | Not measured | Only Gemini 3.7 Flash measured |
| IFBench | Not measured | 75.6% | Only Qwen3.5-27B measured |
| Long context reasoning (AA-LCR) | 83.0% | 77.7% | Gemini 3.7 Flash |
| DTBench | 96.8% | 82.4% | Gemini 3.7 Flash |
| LMCA | 50.4% | 34.0% | Gemini 3.7 Flash |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text | 1489 | 1409 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1484 | 1393 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1488 | 1362 | Gemini 3.7 Flash |
| LMArena Vision | 1314 | 1241 | Gemini 3.7 Flash |
| LMArena Text: English | 1483 | 1425 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1487 | 1390 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1552 | 1478 | Gemini 3.7 Flash |
| LMArena Text: German | 1506 | 1392 | Gemini 3.7 Flash |
| LMArena Text: Japanese | 1511 | 1346 | Gemini 3.7 Flash |
| LMArena Text: Korean | 1481 | 1359 | Gemini 3.7 Flash |
| LMArena Text: French | 1500 | 1410 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1495 | 1407 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1515 | 1390 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1503 | 1375 | Gemini 3.7 Flash |
| LMArena Text: multi-turn | 1485 | 1410 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1492 | 1413 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1491 | 1380 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1477 | 1363 | Gemini 3.7 Flash |
| LMArena Vision: English | 1309 | 1246 | Gemini 3.7 Flash |
| LMArena Vision: Chinese | 1394 | 1301 | Gemini 3.7 Flash |
| LMArena Vision: reading text | 1322 | 1246 | Gemini 3.7 Flash |
| LMArena Vision: humor | 1299 | 1227 | Gemini 3.7 Flash |
| LMArena Vision: captioning | Not measured | 1170 | Only Qwen3.5-27B measured |
| LMArena Vision: recognizing things | Not measured | 1210 | Only Qwen3.5-27B measured |
| LMArena Vision: creative writing | 1312 | 1224 | Gemini 3.7 Flash |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.7 Flash | 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 3.7 Flash$0.0026Fits in one request
Qwen3.5-27B$0.0014Fits in one request
Qwen3.5-27B costs less
Repository review
50K input + 3K output tokens
Gemini 3.7 Flash$0.049Fits in one request
Qwen3.5-27B$0.020Fits in one request
Qwen3.5-27B costs less
Agent loop
200K input + 10K output tokens
Gemini 3.7 Flash$0.188Fits 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 3.7 Flash | Qwen3.5-27B |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2026 | February 25, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.75 | $0.27 |
| Output $/Mtok | $3.75 | $2.16 |
| Coding index | 69.9 | 22.6 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $1.78 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.7 Flash better than Qwen3.5-27B for coding?
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when output tokens cost 1.7x less.
Which is cheaper, Gemini 3.7 Flash or Qwen3.5-27B?
Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.5-27B costs $0.27 and $2.16. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, Gemini 3.7 Flash or Qwen3.5-27B?
Gemini 3.7 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.7 Flash vs Qwen3.5-27B comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks and Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.