Grok 4.20 vs Qwen3.7 Plus
Grok 4.20 leads Qwen3.7 Plus on coding, 33.3 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 22, 2026; 28 benchmarks have a result for both.
Grok 4.20 or Qwen3.7 Plus: which to pick
Grok 4.20 and Qwen3.7 Plus are level for coding, 33.3 against 33.2 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads. Pick Grok 4.20 for a larger context window (2M against 1M tokens) and work measured by AA Intelligence Index or Epoch Capabilities Index, where it leads.
- Shared results
- 28
- Grok 4.20 only
- 27
- Qwen3.7 Plus only
- 47
- Like-for-like categories
- 7 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
No call
Level: 33.3 against 33.2, inside 2 points.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.20
Grok 4.20 leads, 25.7 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
Reasoning
GPQA Diamond
No call
Only Grok 4.20 has a GPQA Diamond result, 88.6%.
Directional only
Math
AIME
No call
Only Grok 4.20 has a AIME result, 96.5%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.20 has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1229.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
Grok 4.20 $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 4.20 has the number, $0.72.
Directional only
At a glance
- Coding index
- Grok 4.20 33.3 from 2 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Knowledge, 20.8 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.20 4.1% against Qwen3.7 Plus 46.4%, 42.3 points apart on a 0 to 100 scale.
- Output price
- Grok 4.20 $2.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.0x apart.
- Context window
- Grok 4.20 takes 2M 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 4.20 | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 0 | 4 | 1 tie | |
| Reasoning | 1 | 1 | ||
| Knowledge | 0 | 1 | ||
| Web design | 1 | 7 | ||
| General | 3 | 3 | ||
| All shared boards | 7 | 20 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 55.9 | Only Qwen3.7 Plus measured |
| LiveCodeBench (Vals AI) | 84.3% | Not measured | Only Grok 4.20 measured |
| SWE-bench Verified (Vals AI) | 72.2% | Not measured | Only Grok 4.20 measured |
| Vibe Code Bench (Vals AI) | 4.1% | 46.4% | Qwen3.7 Plus |
| Code migration (Vals AI) | 0.3% | 12.9% | Qwen3.7 Plus |
| Terminal-Bench 2.1 (Vals AI) | 44.2% | 52.8% | Qwen3.7 Plus |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | Not measured | 46.1% | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 47.0% | Qwen3.7 Plus |
| Terminal-Bench | 57.3% | Not measured | Only Grok 4.20 measured |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| WeirdML | 52.3% | Not measured | Only Grok 4.20 measured |
| LMArena Text: coding | Not measured | 1473 | Only Qwen3.7 Plus measured |
| LMArena Text: software and IT | Not measured | 1473 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.7 | 25.2 | Grok 4.20 |
| Epoch Capabilities Index | 152.1 | 147.0 | Grok 4.20 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus measured |
| Design Arena: agents building web apps | 1144 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building full-stack apps | 1054 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building mobile apps | 1090 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building Android apps | 1045 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building Godot games | 1089 | Not measured | Only Grok 4.20 measured |
| Design Arena: HTML slides | 1180 | Not measured | Only Grok 4.20 measured |
| Finance Agent (Vals AI) | 28.5% | 38.2% | Qwen3.7 Plus |
| Tax Agent Bench (Vals AI) | 7.0% | 10.5% | Qwen3.7 Plus |
| Legal Research Bench (Vals AI) | 13.9% | 16.4% | Qwen3.7 Plus |
| Excel Modeling Benchmark (Vals AI) | 11.7% | 49.3% | Qwen3.7 Plus |
| τ²-Bench Telecom | 93.0% | 93.0% | Tie |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Vending-Bench 2 | $4,663 | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 88.6% | Not measured | Only Grok 4.20 measured |
| MMMU Pro (Vals AI) | 83.5% | Not measured | Only Grok 4.20 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 90.0% | Grok 4.20 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Qwen3.7 Plus measured |
| ARC-AGI | 89.5% | Not measured | Only Grok 4.20 measured |
| ARC-AGI-2 | 65.1% | Not measured | Only Grok 4.20 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Text: expert | Not measured | 1466 | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts in English | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Vision: diagrams | Not measured | 1292 | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.7 Plus measured |
| Kagi LLM Benchmark | 75.0% | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 8 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AIME | 96.5% | Not measured | Only Grok 4.20 measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 34.4% | Only Qwen3.7 Plus measured |
| LMArena Text: math | Not measured | 1467 | Only Qwen3.7 Plus measured |
| LMArena Text: mathematical work | Not measured | 1470 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | Not measured | Only Grok 4.20 measured |
| LegalBench (Vals AI) | 77.7% | Not measured | Only Grok 4.20 measured |
| CaseLaw (Vals AI) | 54.4% | Not measured | Only Grok 4.20 measured |
| CorpFin (Vals AI) | 63.7% | Not measured | Only Grok 4.20 measured |
| TaxEval (Vals AI) | 74.1% | Not measured | Only Grok 4.20 measured |
| MortgageTax (Vals AI) | 45.4% | 66.2% | Qwen3.7 Plus |
| MedQA (Vals AI) | 94.5% | Not measured | Only Grok 4.20 measured |
| MedCode (Vals AI) | 32.2% | Not measured | Only Grok 4.20 measured |
| LMArena Text: science | Not measured | 1464 | Only Qwen3.7 Plus measured |
| LMArena Text: medicine and healthcare | Not measured | 1464 | Only Qwen3.7 Plus measured |
| LMArena Text: legal and government | Not measured | 1451 | Only Qwen3.7 Plus measured |
| LMArena Text: business and finance | Not measured | 1435 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1229 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1200 | 1258 | Qwen3.7 Plus |
| Design Arena: game dev | 1193 | 1261 | Qwen3.7 Plus |
| Design Arena: data viz | 1217 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1193 | 1238 | Qwen3.7 Plus |
| Design Arena: all code categories | 1221 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1165 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1175 | 1143 | Grok 4.20 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Grok 4.20 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 38.2% | 39.3% | Qwen3.7 Plus |
| MedScribe (Vals AI) | 63.4% | Not measured | Only Grok 4.20 measured |
| Vals Multimodal Index | 39.1% | 53.9% | Qwen3.7 Plus |
| IFBench | 81.2% | 78.0% | Grok 4.20 |
| Long context reasoning (AA-LCR) | 69.0% | 73.0% | Qwen3.7 Plus |
| DTBench | 90.1% | 84.0% | Grok 4.20 |
| LMCA | 38.7% | 37.6% | Grok 4.20 |
| CL-bench | 22.2% | Not measured | Only Grok 4.20 measured |
| CL-bench Life | 11.9% | Not measured | Only Grok 4.20 measured |
| LMArena Text | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: instruction following | Not measured | 1439 | Only Qwen3.7 Plus measured |
| LMArena Text: creative writing | Not measured | 1438 | Only Qwen3.7 Plus measured |
| LMArena Vision | Not measured | 1278 | Only Qwen3.7 Plus measured |
| LMArena Text: English | Not measured | 1458 | Only Qwen3.7 Plus measured |
| LMArena Text: non-English | Not measured | 1445 | Only Qwen3.7 Plus measured |
| LMArena Text: Chinese | Not measured | 1509 | Only Qwen3.7 Plus measured |
| LMArena Text: German | Not measured | 1471 | Only Qwen3.7 Plus measured |
| LMArena Text: Japanese | Not measured | 1412 | Only Qwen3.7 Plus measured |
| LMArena Text: Korean | Not measured | 1413 | Only Qwen3.7 Plus measured |
| LMArena Text: French | Not measured | 1472 | Only Qwen3.7 Plus measured |
| LMArena Text: Spanish | Not measured | 1457 | Only Qwen3.7 Plus measured |
| LMArena Text: Russian | Not measured | 1457 | Only Qwen3.7 Plus measured |
| LMArena Text: Polish | Not measured | 1449 | Only Qwen3.7 Plus measured |
| LMArena Text: multi-turn | Not measured | 1459 | Only Qwen3.7 Plus measured |
| LMArena Text: longer queries | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: writing and language | Not measured | 1437 | Only Qwen3.7 Plus measured |
| LMArena Text: entertainment and media | Not measured | 1422 | Only Qwen3.7 Plus measured |
| LMArena Vision: English | Not measured | 1280 | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | Not measured | 1332 | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | Not measured | 1288 | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | Not measured | 1261 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | Not measured | 1258 | Only Qwen3.7 Plus measured |
| 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 4.20 | 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 4.20 | Qwen3.7 Plus |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | March 31, 2026 | June 3, 2026 |
| Context window | 2M | 1M |
| Input $/Mtok | $1.25 | $0.32 |
| Output $/Mtok | $2.50 | $1.28 |
| Coding index | 33.3 | 33.2 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.72 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.20 better than Qwen3.7 Plus for coding?
Grok 4.20 and Qwen3.7 Plus are level for coding, 33.3 against 33.2 on the Vibe Coding Index, so price and context decide. Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads. Pick Grok 4.20 for a larger context window (2M against 1M tokens) and work measured by AA Intelligence Index or Epoch Capabilities Index, where it leads.
Which is cheaper, Grok 4.20 or Qwen3.7 Plus?
Grok 4.20 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 4.20 only.
Which has the bigger context window, Grok 4.20 or Qwen3.7 Plus?
Grok 4.20, with 2M tokens against 1M.
How many benchmarks is the Grok 4.20 vs Qwen3.7 Plus comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 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.