Grok 4.7 vs Qwen3.7 Max
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.
Pick Qwen3.7 Max when output tokens cost 1.4x less, or when the context window is larger, 1M against 500K tokens.
- Shared results
- 34
- Grok 4.7 only
- 65
- Qwen3.7 Max only
- 25
- 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
Grok 4.7
Grok 4.7 scores 75.0 against 45.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 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
No call
Only Qwen3.7 Max has a GPQA Diamond result, 90.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.7 Max has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1255.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Qwen3.7 Max
Qwen3.7 Max takes 1M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Max
Grok 4.7 $0.0050, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.7 Max has the number, $4.69.
Directional only
At a glance
- Coding index
- Grok 4.7 75.0 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
- Widest category
- Coding, 19.6 points apart on average over 7 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.7 86.2% against Qwen3.7 Max 47.7%, 38.5 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Qwen3.7 Max $4.425 per million output tokens, 1.4x apart.
- Context window
- Grok 4.7 takes 500K 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 | Grok 4.7 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 3 | 1 | ||
| Math | 1 | 2 | 1 tie | |
| Knowledge | 2 | 1 | ||
| Web design | 3 | 3 | ||
| General | 4 | 0 | ||
| All shared boards | 26 | 7 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1515 | Grok 4.7 |
| AA Coding Index | Not measured | 66.0 | Only Qwen3.7 Max measured |
| LiveCodeBench (Vals AI) | Not measured | 87.1% | Only Qwen3.7 Max measured |
| SWE-bench Verified (Vals AI) | Not measured | 68.8% | Only Qwen3.7 Max measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | 47.7% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | 13.1% | Grok 4.7 |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | 61.0% | Grok 4.7 |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | 49.5% | Grok 4.7 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 50.8% | Only Qwen3.7 Max measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | Not measured | 1189.4 | Only Qwen3.7 Max measured |
| LMArena Text: coding | 1432 | Not measured | Only Grok 4.7 measured |
| LMArena Text: software and IT | 1421 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: React | 1663 | 1514 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1512 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 29.5 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 154.0 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Qwen3.7 Max measured |
| Design Arena: agents building web apps | Not measured | 1208 | Only Qwen3.7 Max measured |
| Design Arena: agents building full-stack apps | Not measured | 1191 | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | Not measured | 1153 | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | Not measured | 1165 | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | Not measured | 1187 | Only Qwen3.7 Max measured |
| Design Arena: agents building games | Not measured | 1161 | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | Not measured | 1158 | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | Not measured | 1196 | Only Qwen3.7 Max measured |
| LiveBench research | 86.4% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 60.0% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 50.1% | Not measured | Only Grok 4.7 measured |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | 47.8% | Grok 4.7 |
| Tax Agent Bench (Vals AI) | 34.2% | 15.8% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 47.1% | 25.5% | Grok 4.7 |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | 57.0% | Grok 4.7 |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Grok 4.7 measured |
| Vals Science Index | 34.8% | Not measured | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| τ²-Bench Telecom | Not measured | 94.7% | Only Qwen3.7 Max measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 90.2% | Only Qwen3.7 Max measured |
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.3% | Only Qwen3.7 Max measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 40.5% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | 90.9% | Grok 4.7 |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| SimpleBench | Not measured | 70.4% | Only Qwen3.7 Max measured |
| Chess puzzles | 41.0% | 26.0% | Grok 4.7 |
| Mystery game puzzles | 29.0% | 32.0% | Qwen3.7 Max |
| EBR-bench | Not measured | 9.5% | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | 1415 | Not measured | Only Grok 4.7 measured |
| LMArena Text: expert | 1439 | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts in English | 1427 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | 95.6% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 53.0% | 64.6% | Qwen3.7 Max |
| FrontierMath, tier 4 | 17.1% | 34.1% | Qwen3.7 Max |
| ProofBench | 26.0% | 26.0% | Tie |
| LMArena Text: math | 1414 | Not measured | Only Grok 4.7 measured |
| LMArena Text: mathematical work | 1435 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.3% | Only Qwen3.7 Max measured |
| LegalBench (Vals AI) | 84.4% | 84.9% | Qwen3.7 Max |
| CorpFin (Vals AI) | Not measured | 63.7% | Only Qwen3.7 Max measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Qwen3.7 Max measured |
| MedCode (Vals AI) | 49.5% | 38.8% | Grok 4.7 |
| SimpleQA Verified | 56.0% | 55.8% | Grok 4.7 |
| LMArena Text: science | 1419 | Not measured | Only Grok 4.7 measured |
| LMArena Text: medicine and healthcare | 1395 | Not measured | Only Grok 4.7 measured |
| LMArena Text: legal and government | 1423 | Not measured | Only Grok 4.7 measured |
| LMArena Text: business and finance | 1389 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1274 | Qwen3.7 Max |
| Design Arena: UI components | 1271 | 1269 | Grok 4.7 |
| Design Arena: game dev | 1314 | 1265 | Grok 4.7 |
| Design Arena: data viz | 1227 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1269 | 1266 | Grok 4.7 |
| Design Arena: all code categories | 1271 | 1275 | Qwen3.7 Max |
| Design Arena: SVG | Not measured | 1216 | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | Not measured | 1211 | Only Qwen3.7 Max measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 40.8% | Not measured | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 89.4% | 79.4% | Grok 4.7 |
| IFBench | Not measured | 80.5% | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 80.0% | 79.0% | Grok 4.7 |
| DTBench | 96.0% | 92.3% | Grok 4.7 |
| LMCA | 49.4% | 44.0% | Grok 4.7 |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | Not measured | Only Grok 4.7 measured |
| LMArena Text: instruction following | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: creative writing | 1381 | Not measured | Only Grok 4.7 measured |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | Not measured | Only Grok 4.7 measured |
| LMArena Text: non-English | 1386 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Chinese | 1449 | Not measured | Only Grok 4.7 measured |
| LMArena Text: German | 1366 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Japanese | 1359 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1383 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1431 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Spanish | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1399 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Polish | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1394 | Not measured | Only Grok 4.7 measured |
| LMArena Text: longer queries | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: writing and language | 1394 | Not measured | Only Grok 4.7 measured |
| LMArena Text: entertainment and media | 1376 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: English | 1229 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1250 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1241 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1217 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | 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 | SpaceXAI Grok 4.7 | Qwen3.7 Max |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | May 21, 2026 |
| Context window | 500K | 1M |
| Input $/Mtok | $2.00 | $1.475 |
| Output $/Mtok | $6.00 | $4.425 |
| Coding index | 75.0 | 45.1 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Qwen3.7 Max for coding?
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when output tokens cost 1.4x less, or when the context window is larger, 1M against 500K tokens.
Which is cheaper, Grok 4.7 or Qwen3.7 Max?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Cost per solved task is known for Qwen3.7 Max only.
Which has the bigger context window, Grok 4.7 or Qwen3.7 Max?
Qwen3.7 Max, with 1M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Qwen3.7 Max comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.