Grok 4.3 vs Qwen3.6 27B
Grok 4.3 leads Qwen3.6 27B on coding, 37.4 to 36.8 on the Vibe Coding Index, at about the same output price ($2.50 vs $2.70 per million). Updated October 22, 2026; 22 benchmarks have a result for both.
Grok 4.3 or Qwen3.6 27B: which to pick
Grok 4.3 and Qwen3.6 27B are level for coding, 37.4 against 36.8 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.6 27B for work measured by AA Coding Index or AA Agentic Index, where it leads. Pick Grok 4.3 for output tokens 1.1x cheaper ($2.50 vs $2.70 per million) and a lower cost per solved task ($0.31 against $1.30).
- Shared results
- 22
- Grok 4.3 only
- 83
- Qwen3.6 27B only
- 2
- 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: 37.4 against 36.8, inside 2 points.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.3
Grok 4.3 leads, 24.9 against 21.4.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.6 27B
Qwen3.6 27B leads, 18.5 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
No call
Only Grok 4.3 has a Design Arena: websites result, 1196.
Directional only
Long documents
Listed context window
Grok 4.3
Grok 4.3 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 27B
Grok 4.3 $0.0025, Qwen3.6 27B $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
Grok 4.3 $0.31, Qwen3.6 27B $1.30.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
- Widest category
- Knowledge, 13.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- CaseLaw (Vals AI): Grok 4.3 79.3% against Qwen3.6 27B 53.2%, 26.2 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Qwen3.6 27B $2.70 per million output tokens, 1.1x apart.
- Context window
- Grok 4.3 takes 1M tokens, Qwen3.6 27B 262K.
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 | Qwen3.6 27B | Ties |
|---|---|---|---|---|
| Coding | 4 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 2 | ||
| General | 3 | 2 | ||
| All shared boards | 16 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | Not measured | Only Grok 4.3 measured |
| AA Coding Index | 42.2 | 53.7 | Qwen3.6 27B |
| LiveCodeBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| SWE-bench Verified (Vals AI) | 71.4% | 70.0% | Grok 4.3 |
| Vibe Code Bench (Vals AI) | 19.4% | 11.9% | Grok 4.3 |
| Code migration (Vals AI) | 6.8% | Not measured | Only Grok 4.3 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | Not measured | Only Grok 4.3 measured |
| SkillsBench (Vals AI) | 40.6% | Not measured | Only Grok 4.3 measured |
| SciCode | 48.3% | 42.8% | Grok 4.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 34.8% | Grok 4.3 |
| 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 | Not measured | Only Grok 4.3 measured |
| LMArena Text: software and IT | 1416 | Not measured | Only Grok 4.3 measured |
| 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 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 21.4 | Grok 4.3 |
| Epoch Capabilities Index | Not measured | 146.2 | Only Qwen3.6 27B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 18.5 | Qwen3.6 27B |
| 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 | 1058 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | 962 | 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 | 959 | Not measured | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | 988 | Not measured | Only Grok 4.3 measured |
| Design Arena: spreadsheets | 879 | Not measured | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | 37.7% | Not measured | Only Grok 4.3 measured |
| Tax Agent Bench (Vals AI) | 6.2% | Not measured | Only Grok 4.3 measured |
| Legal Research Bench (Vals AI) | 15.4% | Not measured | Only Grok 4.3 measured |
| Excel Modeling Benchmark (Vals AI) | 18.4% | Not measured | Only Grok 4.3 measured |
| τ²-Bench Telecom | 97.7% | 94.2% | Grok 4.3 |
| 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 index30
| Benchmark | Grok 4.3 | Qwen3.6 27B | 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% | 84.2% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 23.1% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 85.9% | Grok 4.3 |
| Chess puzzles | 18.0% | Not measured | Only Grok 4.3 measured |
| Mystery game puzzles | Not measured | 7.0% | Only Qwen3.6 27B measured |
| LMArena Text: hard prompts | 1396 | Not measured | Only Grok 4.3 measured |
| LMArena Text: expert | 1384 | Not measured | Only Grok 4.3 measured |
| LMArena Text: hard prompts in English | 1402 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: diagrams | 1241 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: homework | 1241 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 91.1% | Grok 4.3 |
| FrontierMath, tiers 1 to 3 | 42.8% | 35.1% | 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 | Not measured | Only Grok 4.3 measured |
| LMArena Text: mathematical work | 1396 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Grok 4.3 | Qwen3.6 27B | 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% | 53.2% | Grok 4.3 |
| CorpFin (Vals AI) | 68.5% | 62.3% | Grok 4.3 |
| TaxEval (Vals AI) | 70.8% | 71.3% | Qwen3.6 27B |
| MortgageTax (Vals AI) | 48.3% | 68.3% | Qwen3.6 27B |
| 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 | Not measured | Only Grok 4.3 measured |
| LMArena Text: medicine and healthcare | 1384 | Not measured | Only Grok 4.3 measured |
| LMArena Text: legal and government | 1386 | Not measured | Only Grok 4.3 measured |
| LMArena Text: business and finance | 1381 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | Not measured | Only Grok 4.3 measured |
| Design Arena: UI components | 1190 | Not measured | Only Grok 4.3 measured |
| Design Arena: game dev | 1173 | Not measured | Only Grok 4.3 measured |
| Design Arena: data viz | 1179 | Not measured | Only Grok 4.3 measured |
| Design Arena: 3D | 1124 | Not measured | Only Grok 4.3 measured |
| Design Arena: all code categories | 1186 | Not measured | Only Grok 4.3 measured |
| Design Arena: SVG | 1080 | Not measured | Only Grok 4.3 measured |
| Design Arena: ASCII art | 1125 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Grok 4.3 | Qwen3.6 27B | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.7% | Not measured | Only Grok 4.3 measured |
| SAGE (Vals AI) | 19.7% | 45.6% | Qwen3.6 27B |
| MedScribe (Vals AI) | 74.4% | Not measured | Only Grok 4.3 measured |
| Vals Multimodal Index | 43.3% | Not measured | Only Grok 4.3 measured |
| IFBench | 83.3% | 67.6% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 77.3% | Qwen3.6 27B |
| DTBench | 90.7% | 78.1% | Grok 4.3 |
| LMCA | 38.3% | 34.5% | Grok 4.3 |
| LMArena Text | 1397 | Not measured | Only Grok 4.3 measured |
| LMArena Text: instruction following | 1366 | Not measured | Only Grok 4.3 measured |
| LMArena Text: creative writing | 1380 | Not measured | Only Grok 4.3 measured |
| LMArena Vision | 1229 | Not measured | Only Grok 4.3 measured |
| LMArena Text: English | 1404 | Not measured | Only Grok 4.3 measured |
| LMArena Text: non-English | 1385 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Chinese | 1422 | Not measured | Only Grok 4.3 measured |
| LMArena Text: German | 1395 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Japanese | 1379 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Korean | 1354 | Not measured | Only Grok 4.3 measured |
| LMArena Text: French | 1411 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Spanish | 1399 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Russian | 1399 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Polish | 1398 | Not measured | Only Grok 4.3 measured |
| LMArena Text: multi-turn | 1406 | Not measured | Only Grok 4.3 measured |
| LMArena Text: longer queries | 1393 | Not measured | Only Grok 4.3 measured |
| LMArena Text: writing and language | 1385 | Not measured | Only Grok 4.3 measured |
| LMArena Text: entertainment and media | 1370 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: English | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: Chinese | 1257 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: reading text | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: humor | 1222 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | Not measured | Only Grok 4.3 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 4.3 | Qwen3.6 27B | 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
Qwen3.6 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.6 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 27B 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 | Qwen3.6 27B |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | April 27, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $1.25 | $0.45 |
| Output $/Mtok | $2.50 | $2.70 |
| Coding index | 37.4 | 36.8 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.31 | $1.30 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Qwen3.6 27B for coding?
Grok 4.3 and Qwen3.6 27B are level for coding, 37.4 against 36.8 on the Vibe Coding Index, so price and context decide. Pick Qwen3.6 27B for work measured by AA Coding Index or AA Agentic Index, where it leads. Pick Grok 4.3 for output tokens 1.1x cheaper ($2.50 vs $2.70 per million) and a lower cost per solved task ($0.31 against $1.30).
Which is cheaper, Grok 4.3 or Qwen3.6 27B?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and Qwen3.6 27B $1.30.
Which has the bigger context window, Grok 4.3 or Qwen3.6 27B?
Grok 4.3, with 1M tokens against 262K.
How many benchmarks is the Grok 4.3 vs Qwen3.6 27B comparison based on?
22 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.