Gemini 3.5 Flash vs Qwen3.8 27B
Updated October 21, 2026. 74 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash.
Pick Gemini 3.5 Flash when a solved task costs $1.21 against $1.26, or when the context window is larger, 1.05M against 1M tokens.
- Shared results
- 74
- Gemini 3.5 Flash only
- 36
- Qwen3.8 27B only
- 11
- 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
Qwen3.8 27B
Qwen3.8 27B scores 73.6 against 42.8.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 27B
Qwen3.8 27B leads, 33.7 against 33.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 27B has a AA Agentic Index result, 45.8.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 92.7% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 84.3%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.5 Flash has a Design Arena: websites result, 1268.
Directional only
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
Qwen3.8 27B
Gemini 3.5 Flash $0.0060, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.5 Flash
Gemini 3.5 Flash $1.21, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash 42.8 from 1 benchmark, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Math, 9.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Gemini 3.5 Flash 72.1% against Qwen3.8 27B 42.4%, 29.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against Qwen3.8 27B $1.35 per million output tokens, 6.7x apart.
- Context window
- Gemini 3.5 Flash 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 3.5 Flash | Bars | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 7 | 6 | 1 tie | |
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 3 | ||
| Reasoning | 11 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 9 | 0 | ||
| General | 26 | 3 | ||
| All shared boards | 60 | 13 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index76
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 86.8% | Only Qwen3.8 27B measured |
| LMArena WebDev | 1499 | 1593 | Qwen3.8 27B |
| AA Coding Index | Not measured | 68.1 | Only Qwen3.8 27B measured |
| LiveCodeBench (Vals AI) | 87.6% | 84.0% | Gemini 3.5 Flash |
| SWE-bench Verified (Vals AI) | 78.8% | 86.0% | Qwen3.8 27B |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Gemini 3.5 Flash measured |
| Vibe Code Bench (Vals AI) | 48.7% | 64.8% | Qwen3.8 27B |
| Code migration (Vals AI) | 26.8% | 14.2% | Gemini 3.5 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 39.1% | Only Qwen3.8 27B measured |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | 58.4% | Gemini 3.5 Flash |
| SkillsBench (Vals AI) | 52.7% | 38.1% | Gemini 3.5 Flash |
| CyberBench (Vals AI) | Not measured | 67.8% | Only Qwen3.8 27B measured |
| SciCode | 53.9% | 46.6% | Gemini 3.5 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | Not measured | Only Gemini 3.5 Flash measured |
| WeirdML | 62.6% | Not measured | Only Gemini 3.5 Flash measured |
| ALE-Bench | 911.0 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: coding | 1493 | 1483 | Gemini 3.5 Flash |
| LMArena Text: software and IT | 1494 | 1478 | Gemini 3.5 Flash |
| LMArena WebDev: React | 1495 | 1602 | Qwen3.8 27B |
| LMArena WebDev: HTML | 1522 | 1570 | Qwen3.8 27B |
| LMArena WebDev: from an image | 1504 | 1577 | Qwen3.8 27B |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 33.7 | Qwen3.8 27B |
| Epoch Capabilities Index | 154.9 | 151.7 | Gemini 3.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 45.8 | Only Qwen3.8 27B measured |
| 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 |
| 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 |
| Finance Agent (Vals AI) | 57.9% | 48.5% | Gemini 3.5 Flash |
| Tax Agent Bench (Vals AI) | 21.6% | 30.9% | Qwen3.8 27B |
| Legal Research Bench (Vals AI) | 30.8% | 36.1% | Qwen3.8 27B |
| Excel Modeling Benchmark (Vals AI) | 63.5% | 59.7% | Gemini 3.5 Flash |
| Terminal-Bench-Science (Vals AI) | 5.7% | 0.0% | Gemini 3.5 Flash |
| τ²-Bench Telecom | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| APEX-Agents | 27.5% | 47.5% | Qwen3.8 27B |
| Vending-Bench 2 | $5,396 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 88.9% | Gemini 3.5 Flash |
| LiveBench reasoning | Not measured | 80.0% | Only Qwen3.8 27B measured |
| MMMU Pro (Vals AI) | 88.3% | 83.9% | Gemini 3.5 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 90.5% | Gemini 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 33.9% | Gemini 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 92.8% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI | 92.5% | 87.5% | Gemini 3.5 Flash |
| ARC-AGI-2 | 72.1% | 42.4% | Gemini 3.5 Flash |
| SimpleBench | 76.7% | Not measured | Only Gemini 3.5 Flash measured |
| Chess puzzles | 45.0% | Not measured | Only Gemini 3.5 Flash measured |
| Mystery game puzzles | 32.0% | Not measured | Only Gemini 3.5 Flash measured |
| EBR-bench | 4.8% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts | 1488 | 1459 | Gemini 3.5 Flash |
| LMArena Text: expert | 1495 | 1479 | Gemini 3.5 Flash |
| LMArena Text: hard prompts in English | 1483 | 1461 | Gemini 3.5 Flash |
| LMArena Vision: diagrams | 1323 | 1285 | Gemini 3.5 Flash |
| LMArena Vision: homework | 1330 | 1295 | Gemini 3.5 Flash |
| 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 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tiers 1 to 3 | 62.8% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.5 Flash measured |
| ProofBench | 31.0% | 16.0% | Gemini 3.5 Flash |
| LMArena Text: math | 1504 | 1455 | Gemini 3.5 Flash |
| LMArena Text: mathematical work | 1495 | 1458 | Gemini 3.5 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | 84.3% | Gemini 3.5 Flash |
| LegalBench (Vals AI) | 83.6% | 82.4% | Gemini 3.5 Flash |
| CorpFin (Vals AI) | 64.7% | Not measured | Only Gemini 3.5 Flash measured |
| TaxEval (Vals AI) | 74.4% | 70.8% | Gemini 3.5 Flash |
| MortgageTax (Vals AI) | 68.1% | 64.9% | Gemini 3.5 Flash |
| MedCode (Vals AI) | 55.8% | 28.7% | Gemini 3.5 Flash |
| SimpleQA Verified | 66.2% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: science | 1495 | 1467 | Gemini 3.5 Flash |
| LMArena Text: medicine and healthcare | 1483 | 1437 | Gemini 3.5 Flash |
| LMArena Text: legal and government | 1488 | 1447 | Gemini 3.5 Flash |
| LMArena Text: business and finance | 1467 | 1438 | Gemini 3.5 Flash |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: UI components | 1272 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: game dev | 1263 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: data viz | 1236 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: 3D | 1244 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: all code categories | 1266 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: SVG | 1254 | Not measured | Only Gemini 3.5 Flash measured |
| Design Arena: ASCII art | 1253 | Not measured | Only Gemini 3.5 Flash measured |
| LiveBench design | Not measured | 75.9% | Only Qwen3.8 27B measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index263
| Benchmark | Gemini 3.5 Flash | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.6% | Only Qwen3.8 27B measured |
| Public Benefits Bench (Vals AI) | 59.5% | Not measured | Only Gemini 3.5 Flash measured |
| SAGE (Vals AI) | 49.9% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 76.6% | 83.8% | Qwen3.8 27B |
| Vals Multimodal Index | 62.9% | Not measured | Only Gemini 3.5 Flash measured |
| IFBench | 76.3% | Not measured | Only Gemini 3.5 Flash measured |
| Long context reasoning (AA-LCR) | 74.3% | 82.0% | Qwen3.8 27B |
| DTBench | 94.7% | 88.0% | Gemini 3.5 Flash |
| LMCA | 47.1% | 41.4% | Gemini 3.5 Flash |
| Surface Evolver Bench | 58.1% | 45.0% | Gemini 3.5 Flash |
| LMArena Text | 1482 | 1440 | Gemini 3.5 Flash |
| LMArena Text: instruction following | 1467 | 1436 | Gemini 3.5 Flash |
| LMArena Text: creative writing | 1470 | 1383 | Gemini 3.5 Flash |
| LMArena Vision | 1308 | 1269 | Gemini 3.5 Flash |
| LMArena Text: English | 1481 | 1448 | Gemini 3.5 Flash |
| LMArena Text: non-English | 1475 | 1428 | Gemini 3.5 Flash |
| LMArena Text: Chinese | 1527 | 1501 | Gemini 3.5 Flash |
| LMArena Text: German | 1494 | 1443 | Gemini 3.5 Flash |
| LMArena Text: Japanese | 1486 | 1387 | Gemini 3.5 Flash |
| LMArena Text: Korean | 1448 | 1384 | Gemini 3.5 Flash |
| LMArena Text: French | 1490 | 1465 | Gemini 3.5 Flash |
| LMArena Text: Spanish | 1480 | 1449 | Gemini 3.5 Flash |
| LMArena Text: Russian | 1493 | 1415 | Gemini 3.5 Flash |
| LMArena Text: Polish | 1516 | 1439 | Gemini 3.5 Flash |
| LMArena Text: multi-turn | 1481 | 1440 | Gemini 3.5 Flash |
| LMArena Text: longer queries | 1483 | 1448 | Gemini 3.5 Flash |
| LMArena Text: writing and language | 1478 | 1405 | Gemini 3.5 Flash |
| LMArena Text: entertainment and media | 1459 | 1393 | Gemini 3.5 Flash |
| LMArena Vision: English | 1305 | 1267 | Gemini 3.5 Flash |
| LMArena Vision: Chinese | 1377 | 1326 | Gemini 3.5 Flash |
| LMArena Vision: reading text | 1317 | 1281 | Gemini 3.5 Flash |
| LMArena Vision: humor | 1321 | 1235 | Gemini 3.5 Flash |
| LMArena Vision: creative writing | 1301 | 1237 | Gemini 3.5 Flash |
| 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 | Qwen3.8 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
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 3.5 Flash | Qwen3.8 27B |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | May 19, 2026 | August 14, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.50 | $0.04 |
| Output $/Mtok | $9.00 | $1.35 |
| Coding index | 42.8 | 73.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $1.21 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash better than Qwen3.8 27B for coding?
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash when a solved task costs $1.21 against $1.26, or when the context window is larger, 1.05M against 1M tokens.
Which is cheaper, Gemini 3.5 Flash or Qwen3.8 27B?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Qwen3.8 27B $1.26.
Which has the bigger context window, Gemini 3.5 Flash or Qwen3.8 27B?
Gemini 3.5 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Gemini 3.5 Flash vs Qwen3.8 27B comparison based on?
74 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 Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.