Grok 4.7 vs Qwen3 32B
Updated October 21, 2026. 32 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 32 shared
Decision reading
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 40.0 for Qwen3 32B.
Pick Qwen3 32B when output tokens cost 21.4x less.
Model AGrok 4.7xAI75.0/1002 independent benchmarksNo cost per solved taskModel BQwen3 32BQwen40.0/1001 independent benchmarkNo cost per solved task
- Shared results
- 32
- Grok 4.7 only
- 67
- Qwen3 32B only
- 10
- Like-for-like categories
- 6 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 40.0.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 7.3.
Same board, both measured
Web design
Design Arena: websites
No call
Only Grok 4.7 has a Design Arena: websites result, 1255.
Directional only
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Grok 4.7
Grok 4.7 takes 500K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 32B
Grok 4.7 $0.0050, Qwen3 32B $0.0002 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 75.0 from 2 benchmarks, Qwen3 32B 40.0 from 1 benchmark.
- Widest category
- Intelligence, 29.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Grok 4.7 80.0% against Qwen3 32B 0.0%, 80.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Qwen3 32B $0.28 per million output tokens, 21.4x apart.
- Context window
- Grok 4.7 takes 500K tokens, Qwen3 32B 131K.
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 32B | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 32 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 40.0% | Only Qwen3 32B measured |
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | Not measured | Only Grok 4.7 measured |
| Code migration (Vals AI) | 44.8% | Not measured | Only Grok 4.7 measured |
| 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% | Not measured | Only Grok 4.7 measured |
| 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 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 54.6% | Only Qwen3 32B measured |
| SciCode | 57.8% | 36.0% | Grok 4.7 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 3.0% | Only Qwen3 32B measured |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| LMArena Text: coding | 1432 | 1357 | Grok 4.7 |
| LMArena Text: software and IT | 1421 | 1366 | Grok 4.7 |
| 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 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 7.3 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 138.4 | Grok 4.7 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| 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% | Not measured | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | 34.2% | Not measured | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | 47.1% | Not measured | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| 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 | 29.8% | Only Qwen3 32B 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 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Grok 4.7 | Qwen3 32B | 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 | 66.8% | Only Qwen3 32B measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 7.4% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | 65.7% | 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% | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1415 | 1334 | Grok 4.7 |
| LMArena Text: expert | 1439 | 1362 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1427 | 1350 | Grok 4.7 |
| 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 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 73.0 | Only Qwen3 32B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 73.0% | Only Qwen3 32B measured |
| OTIS Mock AIME | 98.1% | 66.9% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 53.0% | Not measured | Only Grok 4.7 measured |
| 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 | 1399 | Grok 4.7 |
| LMArena Text: mathematical work | 1435 | 1420 | Grok 4.7 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 84.4% | Not measured | Only Grok 4.7 measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 79.8% | Only Qwen3 32B measured |
| SimpleQA Verified | 56.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1419 | 1372 | Grok 4.7 |
| LMArena Text: medicine and healthcare | 1395 | 1368 | Grok 4.7 |
| LMArena Text: legal and government | 1423 | 1324 | Grok 4.7 |
| LMArena Text: business and finance | 1389 | 1318 | Grok 4.7 |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Grok 4.7 | Qwen3 32B | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | Not measured | Only Grok 4.7 measured |
| Design Arena: UI components | 1271 | Not measured | Only Grok 4.7 measured |
| Design Arena: game dev | 1314 | Not measured | Only Grok 4.7 measured |
| Design Arena: data viz | 1227 | Not measured | Only Grok 4.7 measured |
| Design Arena: 3D | 1269 | Not measured | Only Grok 4.7 measured |
| Design Arena: all code categories | 1271 | Not measured | Only Grok 4.7 measured |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Grok 4.7 | Qwen3 32B | 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% | Not measured | Only Grok 4.7 measured |
| IFBench | Not measured | 36.3% | Only Qwen3 32B measured |
| Long context reasoning (AA-LCR) | 80.0% | 0.0% | Grok 4.7 |
| DTBench | 96.0% | 67.5% | Grok 4.7 |
| LMCA | 49.4% | 17.3% | Grok 4.7 |
| Fiction.LiveBench | Not measured | 74.2% | Only Qwen3 32B measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | 1340 | Grok 4.7 |
| LMArena Text: instruction following | 1406 | 1305 | Grok 4.7 |
| LMArena Text: creative writing | 1381 | 1297 | Grok 4.7 |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | 1359 | Grok 4.7 |
| LMArena Text: non-English | 1386 | 1317 | Grok 4.7 |
| LMArena Text: Chinese | 1449 | 1357 | Grok 4.7 |
| LMArena Text: German | 1366 | 1341 | Grok 4.7 |
| 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 | 1311 | Grok 4.7 |
| LMArena Text: Polish | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1394 | 1331 | Grok 4.7 |
| LMArena Text: longer queries | 1416 | 1327 | Grok 4.7 |
| LMArena Text: writing and language | 1394 | 1298 | Grok 4.7 |
| LMArena Text: entertainment and media | 1376 | 1279 | Grok 4.7 |
| 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 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Qwen3 32B | 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
Grok 4.7$0.0050Fits in one request
Qwen3 32B$0.0002Fits in one request
Qwen3 32B costs less
Repository review
50K input + 3K output tokens
Grok 4.7$0.118Fits in one request
Qwen3 32B$0.0048Fits in one request
Qwen3 32B costs less
Agent loop
200K input + 10K output tokens
Grok 4.7$0.460Fits in one request
Qwen3 32B$0.019Exceeds the context window
Qwen3 32B 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 32B |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | April 28, 2025 |
| Context window | 500K | 131K |
| Input $/Mtok | $2.00 | $0.08 |
| Output $/Mtok | $6.00 | $0.28 |
| Coding index | 75.0 | 40.0 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Qwen3 32B for coding?
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 40.0 for Qwen3 32B. Pick Qwen3 32B when output tokens cost 21.4x less.
Which is cheaper, Grok 4.7 or Qwen3 32B?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3 32B costs $0.08 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Qwen3 32B?
Grok 4.7, with 500K tokens against 131K.
How many benchmarks is the Grok 4.7 vs Qwen3 32B comparison based on?
32 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 32B's on 1. Where only one model has a result, the page says so instead of naming a winner.