Grok 4.7 vs Qwen3.7 Plus
Grok 4.7 leads Qwen3.7 Plus on coding, 66.7 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 4.7x less per output token ($1.28 vs $6.00 per million). Updated October 21, 2026; 61 benchmarks have a result for both.
Grok 4.7 or Qwen3.7 Plus: which to pick
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 4.7x cheaper ($1.28 vs $6.00 per million) and a larger context window (1M against 500K tokens).
- Shared results
- 61
- Grok 4.7 only
- 38
- Qwen3.7 Plus only
- 14
- 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
Grok 4.7
Grok 4.7 scores 66.7 against 33.2.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1254.
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 Plus
Qwen3.7 Plus takes 1M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Grok 4.7 $0.0050, Qwen3.7 Plus $0.0010 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 25.3 points apart on average over 7 shared benchmarks.
- Widest single gap
- FrontierCode: Grok 4.7 47.6% against Qwen3.7 Plus 10.2%, 57.5 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Qwen3.7 Plus $1.28 per million output tokens, 4.7x apart.
- Context window
- Grok 4.7 takes 500K tokens, Qwen3.7 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 | Grok 4.7 | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 5 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 4 | 4 | ||
| Math | 2 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 4 | 2 | ||
| General | 4 | 22 | ||
| All shared boards | 25 | 36 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | Not measured | Only Grok 4.7 measured |
| AA Coding Index | Not measured | 55.9 | Only Qwen3.7 Plus measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | 46.4% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | 12.9% | 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% | 52.8% | Grok 4.7 |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | 46.1% | Grok 4.7 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only Qwen3.7 Plus measured |
| FrontierCode | 47.6% | 10.2% | Grok 4.7 |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1432 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1421 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1663 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: HTML | 1627 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 25.2 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 147.0 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus 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% | 38.2% | Grok 4.7 |
| Tax Agent Bench (Vals AI) | 34.2% | 10.5% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 47.1% | 16.4% | 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% | 49.3% | 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 | 93.0% | Only Qwen3.7 Plus measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index44
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| 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 | 90.0% | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 35.6% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | 87.9% | 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 |
| Chess puzzles | 41.0% | Not measured | Only Grok 4.7 measured |
| Mystery game puzzles | 29.0% | 17.0% | Grok 4.7 |
| LMArena Text: hard prompts | 1415 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1439 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1427 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1254 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1309 | 1295 | Grok 4.7 |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | 93.3% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 53.0% | 34.4% | Grok 4.7 |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Grok 4.7 measured |
| ProofBench | 26.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: math | 1414 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1435 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 84.4% | Not measured | Only Grok 4.7 measured |
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1395 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1423 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1389 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Grok 4.7 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1254 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1275 | 1261 | Grok 4.7 |
| Design Arena: game dev | 1313 | 1262 | Grok 4.7 |
| Design Arena: data viz | 1235 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1270 | 1239 | Grok 4.7 |
| Design Arena: all code categories | 1271 | 1269 | Grok 4.7 |
| Design Arena: SVG | Not measured | 1208 | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | Not measured | 1143 | Only Qwen3.7 Plus measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index422
| Benchmark | Grok 4.7 | Qwen3.7 Plus | 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% | 39.3% | Grok 4.7 |
| MedScribe (Vals AI) | 89.4% | Not measured | Only Grok 4.7 measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | Not measured | 78.0% | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 80.0% | 73.0% | Grok 4.7 |
| DTBench | 96.0% | 84.0% | Grok 4.7 |
| LMCA | 49.4% | 37.6% | Grok 4.7 |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1406 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1381 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1231 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1411 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1386 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1449 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1366 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1359 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1383 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1431 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1406 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1399 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1420 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1394 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1416 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1394 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1376 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1229 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1250 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1241 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | Not measured | 1261 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | 1217 | 1258 | Qwen3.7 Plus |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Qwen3.7 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
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 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 | SpaceXAI Grok 4.7 | Qwen3.7 Plus |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | June 3, 2026 |
| Context window | 500K | 1M |
| Input $/Mtok | $2.00 | $0.32 |
| Output $/Mtok | $6.00 | $1.28 |
| Coding index | 66.7 | 33.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Qwen3.7 Plus for coding?
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 4.7x cheaper ($1.28 vs $6.00 per million) and a larger context window (1M against 500K tokens).
Which is cheaper, Grok 4.7 or Qwen3.7 Plus?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Qwen3.7 Plus comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.