Gemini 3.5 Flash vs Qwen3.6 Plus
Updated October 21, 2026. 79 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus.
Pick Qwen3.6 Plus when output tokens cost 4.6x less, or when a solved task costs $1.19 against $1.21.
- Shared results
- 79
- Gemini 3.5 Flash only
- 31
- Qwen3.6 Plus only
- 4
- Like-for-like categories
- 8 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 3.5 Flash
Gemini 3.5 Flash scores 42.8 against 37.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 33.6 against 27.0.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 92.7% against 87.4%.
Same board, both measured
Math
AIME
No call
Only Qwen3.6 Plus has a AIME result, 94.6%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 87.7%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 1268 against 1243.
Same board, both measured
Long documents
Listed context window
Gemini 3.5 Flash
Gemini 3.5 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 Plus
Gemini 3.5 Flash $0.0060, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.6 Plus
Gemini 3.5 Flash $1.21, Qwen3.6 Plus $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash 42.8 from 1 benchmark, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Agentic work, 13.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- Chess puzzles: Gemini 3.5 Flash 45.0% against Qwen3.6 Plus 14.0%, 31.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against Qwen3.6 Plus $1.95 per million output tokens, 4.6x apart.
- Context window
- Gemini 3.5 Flash takes 1.05M tokens, Qwen3.6 Plus 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 3.5 Flash | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 13 | 0 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 9 | 2 | ||
| Web design | 8 | 0 | ||
| General | 22 | 2 | ||
| All shared boards | 73 | 5 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index130
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1499 | 1461 | Gemini 3.5 Flash |
| AA Coding Index | Not measured | 54.5 | Only Qwen3.6 Plus measured |
| LiveCodeBench (Vals AI) | 87.6% | 86.0% | Gemini 3.5 Flash |
| SWE-bench Verified (Vals AI) | 78.8% | 73.4% | Gemini 3.5 Flash |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Gemini 3.5 Flash measured |
| Vibe Code Bench (Vals AI) | 48.7% | 25.6% | Gemini 3.5 Flash |
| Code migration (Vals AI) | 26.8% | 11.1% | Gemini 3.5 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | 53.2% | Gemini 3.5 Flash |
| SkillsBench (Vals AI) | 52.7% | Not measured | Only Gemini 3.5 Flash measured |
| SciCode | 53.9% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | 43.9% | Gemini 3.5 Flash |
| WeirdML | 62.6% | Not measured | Only Gemini 3.5 Flash measured |
| ALE-Bench | 911.0 | 670.1 | Gemini 3.5 Flash |
| LMArena Text: coding | 1493 | 1467 | Gemini 3.5 Flash |
| LMArena Text: software and IT | 1494 | 1462 | Gemini 3.5 Flash |
| LMArena WebDev: React | 1495 | 1454 | Gemini 3.5 Flash |
| LMArena WebDev: HTML | 1522 | 1463 | Gemini 3.5 Flash |
| LMArena WebDev: from an image | 1504 | 1472 | Gemini 3.5 Flash |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 27.0 | Gemini 3.5 Flash |
| Epoch Capabilities Index | 154.9 | 147.3 | Gemini 3.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1202 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building full-stack apps | 1197 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building mobile apps | 1175 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building Android apps | 1190 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building Godot games | 1098 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: agents building games | 1180 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: HTML slides | 1142 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: PowerPoint slides | 1178 | Not measured | Only Gemini 3.5 Flash measured |
| Finance Agent (Vals AI) | 57.9% | 40.9% | Gemini 3.5 Flash |
| Tax Agent Bench (Vals AI) | 21.6% | 7.7% | Gemini 3.5 Flash |
| Legal Research Bench (Vals AI) | 30.8% | 14.9% | Gemini 3.5 Flash |
| Excel Modeling Benchmark (Vals AI) | 63.5% | 32.9% | Gemini 3.5 Flash |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Gemini 3.5 Flash measured |
| τ²-Bench Telecom | 95.6% | 97.7% | Qwen3.6 Plus |
| APEX-Agents | 27.5% | Not measured | Only Gemini 3.5 Flash measured |
| Vending-Bench 2 | $5,396 | $5,115 | Gemini 3.5 Flash |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 87.4% | Gemini 3.5 Flash |
| MMMU Pro (Vals AI) | 88.3% | 84.2% | Gemini 3.5 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 88.2% | Gemini 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 27.8% | Gemini 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 92.8% | 88.4% | Gemini 3.5 Flash |
| ARC-AGI | 92.5% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI-2 | 72.1% | Not measured | Only Gemini 3.5 Flash measured |
| SimpleBench | 76.7% | Not measured | Only Gemini 3.5 Flash measured |
| Chess puzzles | 45.0% | 14.0% | Gemini 3.5 Flash |
| Mystery game puzzles | 32.0% | 12.0% | Gemini 3.5 Flash |
| EBR-bench | 4.8% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts | 1488 | 1448 | Gemini 3.5 Flash |
| LMArena Text: expert | 1495 | 1454 | Gemini 3.5 Flash |
| LMArena Text: hard prompts in English | 1483 | 1455 | Gemini 3.5 Flash |
| LMArena Vision: diagrams | 1323 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: homework | 1330 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | Not measured | 94.6% | Only Qwen3.6 Plus measured |
| OTIS Mock AIME | 95.6% | 93.3% | Gemini 3.5 Flash |
| FrontierMath, tiers 1 to 3 | 62.8% | 38.2% | Gemini 3.5 Flash |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.5 Flash measured |
| ProofBench | 31.0% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: math | 1504 | 1449 | Gemini 3.5 Flash |
| LMArena Text: mathematical work | 1495 | 1448 | Gemini 3.5 Flash |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | 87.7% | Gemini 3.5 Flash |
| LegalBench (Vals AI) | 83.6% | 84.2% | Qwen3.6 Plus |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | 64.7% | 61.9% | Gemini 3.5 Flash |
| TaxEval (Vals AI) | 74.4% | 74.7% | Qwen3.6 Plus |
| MortgageTax (Vals AI) | 68.1% | 68.0% | Gemini 3.5 Flash |
| MedCode (Vals AI) | 55.8% | 36.9% | Gemini 3.5 Flash |
| SimpleQA Verified | 66.2% | 44.1% | Gemini 3.5 Flash |
| LMArena Text: science | 1495 | 1439 | Gemini 3.5 Flash |
| LMArena Text: medicine and healthcare | 1483 | 1442 | Gemini 3.5 Flash |
| LMArena Text: legal and government | 1488 | 1437 | Gemini 3.5 Flash |
| LMArena Text: business and finance | 1467 | 1430 | Gemini 3.5 Flash |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1243 | Gemini 3.5 Flash |
| Design Arena: UI components | 1272 | 1233 | Gemini 3.5 Flash |
| Design Arena: game dev | 1263 | 1211 | Gemini 3.5 Flash |
| Design Arena: data viz | 1236 | 1228 | Gemini 3.5 Flash |
| Design Arena: 3D | 1244 | 1202 | Gemini 3.5 Flash |
| Design Arena: all code categories | 1266 | 1236 | Gemini 3.5 Flash |
| Design Arena: SVG | 1254 | 1160 | Gemini 3.5 Flash |
| Design Arena: ASCII art | 1253 | 1115 | Gemini 3.5 Flash |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 59.5% | Not measured | Only Gemini 3.5 Flash measured |
| SAGE (Vals AI) | 49.9% | 44.9% | Gemini 3.5 Flash |
| MedScribe (Vals AI) | 76.6% | 77.0% | Qwen3.6 Plus |
| Vals Multimodal Index | 62.9% | 51.5% | Gemini 3.5 Flash |
| IFBench | 76.3% | 75.2% | Gemini 3.5 Flash |
| Long context reasoning (AA-LCR) | 74.3% | 78.3% | Qwen3.6 Plus |
| DTBench | 94.7% | 81.9% | Gemini 3.5 Flash |
| LMCA | 47.1% | 33.1% | Gemini 3.5 Flash |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| Surface Evolver Bench | 58.1% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text | 1482 | 1436 | Gemini 3.5 Flash |
| LMArena Text: instruction following | 1467 | 1424 | Gemini 3.5 Flash |
| LMArena Text: creative writing | 1470 | 1404 | Gemini 3.5 Flash |
| LMArena Vision | 1308 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: English | 1481 | 1445 | Gemini 3.5 Flash |
| LMArena Text: non-English | 1475 | 1424 | Gemini 3.5 Flash |
| LMArena Text: Chinese | 1527 | 1477 | Gemini 3.5 Flash |
| LMArena Text: German | 1494 | 1451 | Gemini 3.5 Flash |
| LMArena Text: Japanese | 1486 | 1390 | Gemini 3.5 Flash |
| LMArena Text: Korean | 1448 | 1379 | Gemini 3.5 Flash |
| LMArena Text: French | 1490 | 1455 | Gemini 3.5 Flash |
| LMArena Text: Spanish | 1480 | 1432 | Gemini 3.5 Flash |
| LMArena Text: Russian | 1493 | 1434 | Gemini 3.5 Flash |
| LMArena Text: Polish | 1516 | 1433 | Gemini 3.5 Flash |
| LMArena Text: multi-turn | 1481 | 1438 | Gemini 3.5 Flash |
| LMArena Text: longer queries | 1483 | 1439 | Gemini 3.5 Flash |
| LMArena Text: writing and language | 1478 | 1418 | Gemini 3.5 Flash |
| LMArena Text: entertainment and media | 1459 | 1402 | Gemini 3.5 Flash |
| LMArena Vision: English | 1305 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: Chinese | 1377 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: reading text | 1317 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Document | 1463 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash | Qwen3.6 Plus | 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
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 Plus 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 3.5 Flash | Qwen3.6 Plus |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | No public weights listed |
| Released | May 19, 2026 | April 2, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.50 | $0.325 |
| Output $/Mtok | $9.00 | $1.95 |
| Coding index | 42.8 | 37.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $1.21 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash better than Qwen3.6 Plus for coding?
Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus. Pick Qwen3.6 Plus when output tokens cost 4.6x less, or when a solved task costs $1.19 against $1.21.
Which is cheaper, Gemini 3.5 Flash or Qwen3.6 Plus?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Qwen3.6 Plus $1.19.
Which has the bigger context window, Gemini 3.5 Flash or Qwen3.6 Plus?
Gemini 3.5 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Gemini 3.5 Flash vs Qwen3.6 Plus comparison based on?
79 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.