Gemini 3.5 Flash vs Qwen3.7 Max
Qwen3.7 Max leads Gemini 3.5 Flash on coding, 54.1 to 39.8 on the Vibe Coding Index, and Qwen3.7 Max costs 2.0x less per output token ($4.425 vs $9.00 per million). Updated October 21, 2026; 57 benchmarks have a result for both.
Gemini 3.5 Flash or Qwen3.7 Max: which to pick
Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4.
Pick Gemini 3.5 Flash for a lower cost per solved task ($1.21 against $4.69) and a larger context window (1.05M against 1M tokens).
- Shared results
- 57
- Gemini 3.5 Flash only
- 55
- Qwen3.7 Max only
- 2
- Like-for-like categories
- 8 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
Qwen3.7 Max
Qwen3.7 Max scores 54.1 against 39.8.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 33.6 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Max has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 92.7% against 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 89.5% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1268.
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
Qwen3.7 Max
Gemini 3.5 Flash $0.0060, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.5 Flash
Gemini 3.5 Flash $1.21, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash 39.8 from 4 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
- Widest category
- Coding, 5.8 points apart on average over 11 shared benchmarks.
- Widest single gap
- Chess puzzles: Gemini 3.5 Flash 45.0% against Qwen3.7 Max 26.0%, 19.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against Qwen3.7 Max $4.425 per million output tokens, 2.0x apart.
- Context window
- Gemini 3.5 Flash takes 1.05M tokens, Qwen3.7 Max 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 | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 7 | 4 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 4 | ||
| Reasoning | 5 | 2 | 1 tie | |
| Math | 1 | 2 | 1 tie | |
| Knowledge | 4 | 2 | ||
| Web design | 3 | 5 | ||
| General | 2 | 3 | ||
| All shared boards | 33 | 22 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index74
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| LMArena WebDev | 1499 | 1515 | Qwen3.7 Max |
| AA Coding Index | Not measured | 66.0 | Only Qwen3.7 Max measured |
| LiveCodeBench (Vals AI) | 87.6% | 87.1% | Gemini 3.5 Flash |
| SWE-bench Verified (Vals AI) | 78.8% | 68.8% | 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% | 47.7% | Gemini 3.5 Flash |
| Code migration (Vals AI) | 26.8% | 13.1% | Gemini 3.5 Flash |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | 61.0% | Gemini 3.5 Flash |
| SkillsBench (Vals AI) | 52.7% | Not measured | Only Gemini 3.5 Flash measured |
| SciCode | 53.9% | 49.5% | Gemini 3.5 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | 50.8% | Qwen3.7 Max |
| WeirdML | 62.6% | Not measured | Only Gemini 3.5 Flash measured |
| ALE-Bench | 911.0 | 1189.4 | Qwen3.7 Max |
| LMArena Text: coding | 1493 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: software and IT | 1494 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena WebDev: React | 1495 | 1514 | Qwen3.7 Max |
| LMArena WebDev: HTML | 1522 | 1512 | Gemini 3.5 Flash |
| LMArena WebDev: from an image | 1504 | Not measured | Only Gemini 3.5 Flash measured |
| SciCode | 12.3% | Not measured | Only Gemini 3.5 Flash measured |
| 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 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 29.5 | Gemini 3.5 Flash |
| Epoch Capabilities Index | 154.9 | 154.0 | Gemini 3.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index94
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Qwen3.7 Max measured |
| Design Arena: agents building web apps | 1202 | 1208 | Qwen3.7 Max |
| Design Arena: agents building full-stack apps | 1197 | 1191 | Gemini 3.5 Flash |
| Design Arena: agents building mobile apps | 1174 | 1155 | Gemini 3.5 Flash |
| Design Arena: agents building Android apps | 1184 | 1159 | Gemini 3.5 Flash |
| Design Arena: agents building Godot games | 1098 | 1187 | Qwen3.7 Max |
| Design Arena: agents building games | 1180 | 1161 | Gemini 3.5 Flash |
| Design Arena: HTML slides | 1142 | 1158 | Qwen3.7 Max |
| Design Arena: PowerPoint slides | 1179 | 1197 | Qwen3.7 Max |
| Finance Agent (Vals AI) | 57.9% | 47.8% | Gemini 3.5 Flash |
| Tax Agent Bench (Vals AI) | 21.6% | 15.8% | Gemini 3.5 Flash |
| Legal Research Bench (Vals AI) | 30.8% | 25.5% | Gemini 3.5 Flash |
| Excel Modeling Benchmark (Vals AI) | 63.5% | 57.0% | Gemini 3.5 Flash |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Gemini 3.5 Flash measured |
| τ²-Bench Telecom | 95.6% | 94.7% | Gemini 3.5 Flash |
| APEX-Agents | 27.5% | Not measured | Only Gemini 3.5 Flash measured |
| Vending-Bench 2 | $5,396 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 90.2% | Gemini 3.5 Flash |
| MMMU Pro (Vals AI) | 88.3% | Not measured | Only Gemini 3.5 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 40.5% | Gemini 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 92.8% | 90.9% | 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% | 70.4% | Gemini 3.5 Flash |
| Chess puzzles | 45.0% | 26.0% | Gemini 3.5 Flash |
| Mystery game puzzles | 32.0% | 32.0% | Tie |
| EBR-bench | 4.8% | 9.5% | Qwen3.7 Max |
| LMArena Text: hard prompts | 1488 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: expert | 1495 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts in English | 1483 | Not measured | Only Gemini 3.5 Flash measured |
| 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 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 95.6% | Tie |
| FrontierMath, tiers 1 to 3 | 62.8% | 64.6% | Qwen3.7 Max |
| FrontierMath, tier 4 | 26.8% | 34.1% | Qwen3.7 Max |
| ProofBench | 31.0% | 26.0% | Gemini 3.5 Flash |
| LMArena Text: math | 1504 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: mathematical work | 1495 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | 89.3% | Gemini 3.5 Flash |
| LegalBench (Vals AI) | 83.6% | 84.9% | Qwen3.7 Max |
| CorpFin (Vals AI) | 64.7% | 63.7% | Gemini 3.5 Flash |
| TaxEval (Vals AI) | 74.4% | 75.3% | Qwen3.7 Max |
| MortgageTax (Vals AI) | 68.1% | Not measured | Only Gemini 3.5 Flash measured |
| MedCode (Vals AI) | 55.8% | 38.8% | Gemini 3.5 Flash |
| SimpleQA Verified | 66.2% | 55.8% | Gemini 3.5 Flash |
| LMArena Text: science | 1495 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: medicine and healthcare | 1483 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: legal and government | 1488 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: business and finance | 1467 | Not measured | Only Gemini 3.5 Flash measured |
| FACTS Benchmark Suite | 63.1% | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1274 | Qwen3.7 Max |
| Design Arena: UI components | 1273 | 1270 | Gemini 3.5 Flash |
| Design Arena: game dev | 1263 | 1265 | Qwen3.7 Max |
| Design Arena: data viz | 1236 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1244 | 1266 | Qwen3.7 Max |
| Design Arena: all code categories | 1266 | 1275 | Qwen3.7 Max |
| Design Arena: SVG | 1254 | 1217 | Gemini 3.5 Flash |
| Design Arena: ASCII art | 1254 | 1211 | 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 index23
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 59.5% | Not measured | Only Gemini 3.5 Flash measured |
| SAGE (Vals AI) | 49.9% | Not measured | Only Gemini 3.5 Flash measured |
| MedScribe (Vals AI) | 76.6% | 79.4% | Qwen3.7 Max |
| Vals Multimodal Index | 62.9% | Not measured | Only Gemini 3.5 Flash measured |
| IFBench | 76.3% | 80.5% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 74.3% | 79.0% | Qwen3.7 Max |
| DTBench | 94.7% | 92.3% | Gemini 3.5 Flash |
| LMCA | 47.1% | 44.0% | Gemini 3.5 Flash |
| Surface Evolver Bench | 58.1% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text | 1482 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: instruction following | 1467 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: creative writing | 1470 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Vision | 1308 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: English | 1481 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: non-English | 1475 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Chinese | 1527 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: German | 1494 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Japanese | 1486 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Korean | 1448 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: French | 1490 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Spanish | 1480 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Russian | 1493 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Polish | 1516 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: multi-turn | 1481 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: longer queries | 1483 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: writing and language | 1478 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: entertainment and media | 1459 | Not measured | Only Gemini 3.5 Flash measured |
| 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 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash | Qwen3.7 Max | 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
Qwen3.7 Max costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Max costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Max 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 | Qwen3.7 Max |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | No public weights listed |
| Released | May 19, 2026 | May 21, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.50 | $1.475 |
| Output $/Mtok | $9.00 | $4.425 |
| Coding index | 39.8 | 54.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $1.21 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash better than Qwen3.7 Max for coding?
Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4. Pick Gemini 3.5 Flash for a lower cost per solved task ($1.21 against $4.69) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Gemini 3.5 Flash or Qwen3.7 Max?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Qwen3.7 Max $4.69.
Which has the bigger context window, Gemini 3.5 Flash or Qwen3.7 Max?
Gemini 3.5 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Gemini 3.5 Flash vs Qwen3.7 Max comparison based on?
57 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.