Grok 4.3 vs Qwen3.7 Plus
Grok 4.3 leads Qwen3.7 Plus on coding, 37.4 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 2.0x less per output token ($1.28 vs $2.50 per million). Updated October 21, 2026; 70 benchmarks have a result for both.
Grok 4.3 or Qwen3.7 Plus: which to pick
Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 70
- Grok 4.3 only
- 34
- Qwen3.7 Plus only
- 5
- 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 4.3
Grok 4.3 scores 37.4 against 33.2.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 17.5 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Grok 4.3 has a GPQA Diamond result, 91.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.3 has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1196.
Same board, both measured
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Grok 4.3 $0.0025, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.3 has the number, $0.31.
Directional only
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Knowledge, 12.4 points apart on average over 5 shared benchmarks.
- Widest single gap
- Excel Modeling Benchmark (Vals AI): Grok 4.3 18.4% against Qwen3.7 Plus 49.3%, 31.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.0x apart.
- Context window
- Both take 1M tokens.
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 4.3 | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 1 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 5 | ||
| Reasoning | 3 | 5 | ||
| Math | 1 | 2 | 1 tie | |
| Knowledge | 0 | 5 | ||
| Web design | 0 | 8 | ||
| General | 4 | 25 | ||
| All shared boards | 10 | 59 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | Not measured | Only Grok 4.3 measured |
| AA Coding Index | 42.2 | 55.9 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| SWE-bench Verified (Vals AI) | 71.4% | Not measured | Only Grok 4.3 measured |
| Vibe Code Bench (Vals AI) | 19.4% | 46.4% | Qwen3.7 Plus |
| Code migration (Vals AI) | 6.8% | 12.9% | Qwen3.7 Plus |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 52.8% | Qwen3.7 Plus |
| SkillsBench (Vals AI) | 40.6% | 54.3% | Qwen3.7 Plus |
| SciCode | 48.3% | 46.1% | Grok 4.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 47.0% | Qwen3.7 Plus |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| WeirdML | 49.9% | Not measured | Only Grok 4.3 measured |
| ALE-Bench | 944.2 | Not measured | Only Grok 4.3 measured |
| LMArena Text: coding | 1415 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1416 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1353 | Not measured | Only Grok 4.3 measured |
| LMArena WebDev: HTML | 1367 | Not measured | Only Grok 4.3 measured |
| LMArena WebDev: from an image | 1375 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | Not measured | 147.0 | Only Qwen3.7 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 17.5 | Qwen3.7 Plus |
| Design Arena: agents building web apps | 1126 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building full-stack apps | 1006 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building mobile apps | 1059 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | 961 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | 914 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building games | 1007 | Not measured | Only Grok 4.3 measured |
| Design Arena: HTML slides | 1008 | Not measured | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | 1013 | Not measured | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | 37.7% | 38.2% | Qwen3.7 Plus |
| Tax Agent Bench (Vals AI) | 6.2% | 10.5% | Qwen3.7 Plus |
| Legal Research Bench (Vals AI) | 15.4% | 16.4% | Qwen3.7 Plus |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 49.3% | Qwen3.7 Plus |
| τ²-Bench Telecom | 97.7% | 93.0% | Grok 4.3 |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Vending-Bench 2 | $35 | Not measured | Only Grok 4.3 measured |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | Not measured | Only Grok 4.3 measured |
| MMMU Pro (Vals AI) | 83.1% | Not measured | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 90.0% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 35.6% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 87.9% | Grok 4.3 |
| Chess puzzles | 18.0% | Not measured | Only Grok 4.3 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1396 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1384 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1402 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1241 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1241 | 1295 | Qwen3.7 Plus |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 93.3% | Tie |
| FrontierMath, tiers 1 to 3 | 42.8% | 34.4% | Grok 4.3 |
| FrontierMath, tier 4 | 14.6% | Not measured | Only Grok 4.3 measured |
| ProofBench | 11.0% | Not measured | Only Grok 4.3 measured |
| LMArena Text: math | 1387 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1396 | 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 index05
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Grok 4.3 measured |
| LegalBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | Not measured | Only Grok 4.3 measured |
| TaxEval (Vals AI) | 70.8% | Not measured | Only Grok 4.3 measured |
| MortgageTax (Vals AI) | 48.3% | 66.2% | Qwen3.7 Plus |
| MedCode (Vals AI) | 38.1% | Not measured | Only Grok 4.3 measured |
| SimpleQA Verified | 33.2% | Not measured | Only Grok 4.3 measured |
| LMArena Text: science | 1399 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1384 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1386 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1381 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1192 | 1261 | Qwen3.7 Plus |
| Design Arena: game dev | 1174 | 1262 | Qwen3.7 Plus |
| Design Arena: data viz | 1179 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1125 | 1239 | Qwen3.7 Plus |
| Design Arena: all code categories | 1187 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1081 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1125 | 1143 | Qwen3.7 Plus |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index425
| Benchmark | Grok 4.3 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.7% | Not measured | Only Grok 4.3 measured |
| SAGE (Vals AI) | 19.7% | 39.3% | Qwen3.7 Plus |
| MedScribe (Vals AI) | 74.4% | Not measured | Only Grok 4.3 measured |
| Vals Multimodal Index | 43.3% | 53.9% | Qwen3.7 Plus |
| IFBench | 83.3% | 78.0% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 73.0% | Grok 4.3 |
| DTBench | 90.7% | 84.0% | Grok 4.3 |
| LMCA | 38.3% | 37.6% | Grok 4.3 |
| LMArena Text | 1397 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1366 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1380 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1229 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1404 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1385 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1422 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1395 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1379 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1354 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1411 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1399 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1399 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1398 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1406 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1393 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1385 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1370 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1235 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1257 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1235 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1222 | 1261 | Qwen3.7 Plus |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | 1258 | Qwen3.7 Plus |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus 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 | Grok 4.3 | 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 4.3 | Qwen3.7 Plus |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | April 30, 2026 | June 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $1.25 | $0.32 |
| Output $/Mtok | $2.50 | $1.28 |
| Coding index | 37.4 | 33.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.31 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Qwen3.7 Plus for coding?
Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Grok 4.3 or Qwen3.7 Plus?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Grok 4.3 only.
Which has the bigger context window, Grok 4.3 or Qwen3.7 Plus?
Neither: both take 1M tokens.
How many benchmarks is the Grok 4.3 vs Qwen3.7 Plus comparison based on?
70 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 3 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.