Grok Build 0.1 vs Qwen3 VL 235B A22B Instruct
Grok Build 0.1 leads Qwen3 VL 235B A22B Instruct on the Artificial Analysis Intelligence Index, 27.2 to 9.9, at about the same output price ($2.00 vs $1.90 per million). Updated October 23, 2026; 1 benchmarks have a result for both.
Grok Build 0.1 or Qwen3 VL 235B A22B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 1
- Grok Build 0.1 only
- 2
- Qwen3 VL 235B A22B Instruct only
- 48
- Like-for-like categories
- 1 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Grok Build 0.1
Grok Build 0.1 leads, 27.2 against 9.9.
Same board, both measured
Long documents
Listed context window
Qwen3 VL 235B A22B Instruct
Qwen3 VL 235B A22B Instruct takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 VL 235B A22B Instruct
Grok Build 0.1 $0.0020, Qwen3 VL 235B A22B Instruct $0.0012 per turn.
List prices
At a glance
- Coding index
- Grok Build 0.1 not benchmarked, Qwen3 VL 235B A22B Instruct not benchmarked.
- Widest category
- Intelligence, 17.3 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Grok Build 0.1 27.2 against Qwen3 VL 235B A22B Instruct 9.9, 17.3 points apart on a 0 to 100 scale.
- Output price
- Grok Build 0.1 $2.00 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.1x apart.
- Context window
- Grok Build 0.1 takes 256K tokens, Qwen3 VL 235B A22B Instruct 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 Build 0.1 | Bars | Qwen3 VL 235B A22B Instruct | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| AA Coding Index | 51.5 | Not measured | Only Grok Build 0.1 measured |
| Vibe Code Bench (Vals AI) | 13.4% | Not measured | Only Grok Build 0.1 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 64.6% | Only Qwen3 VL 235B A22B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 11.4% | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: coding | Not measured | 1438 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: software and IT | Not measured | 1442 | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.2 | 9.9 | Grok Build 0.1 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 54.1% | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 77.2% | Only Qwen3 VL 235B A22B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 11.9% | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: hard prompts | Not measured | 1428 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: expert | Not measured | 1442 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: hard prompts in English | Not measured | 1439 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: diagrams | Not measured | 1255 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: homework | Not measured | 1277 | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 88.3 | Only Qwen3 VL 235B A22B Instruct measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: math | Not measured | 1425 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: mathematical work | Not measured | 1419 | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 83.6% | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: science | Not measured | 1445 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: medicine and healthcare | Not measured | 1431 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: legal and government | Not measured | 1438 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: business and finance | Not measured | 1433 | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 15 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | Leader |
|---|---|---|---|
| IFBench | Not measured | 56.5% | Only Qwen3 VL 235B A22B Instruct measured |
| Long context reasoning (AA-LCR) | Not measured | 63.7% | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text | Not measured | 1420 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: instruction following | Not measured | 1406 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: creative writing | Not measured | 1366 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision | Not measured | 1247 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: English | Not measured | 1429 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: non-English | Not measured | 1405 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Chinese | Not measured | 1462 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: German | Not measured | 1424 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Japanese | Not measured | 1385 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Korean | Not measured | 1394 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: French | Not measured | 1452 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Spanish | Not measured | 1428 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Russian | Not measured | 1408 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: Polish | Not measured | 1419 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: multi-turn | Not measured | 1428 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: longer queries | Not measured | 1420 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: writing and language | Not measured | 1393 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Text: entertainment and media | Not measured | 1368 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: English | Not measured | 1256 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: Chinese | Not measured | 1283 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: reading text | Not measured | 1253 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: humor | Not measured | 1209 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: captioning | Not measured | 1281 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: recognizing things | Not measured | 1249 | Only Qwen3 VL 235B A22B Instruct measured |
| LMArena Vision: creative writing | Not measured | 1220 | Only Qwen3 VL 235B A22B Instruct measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok Build 0.1 | Qwen3 VL 235B A22B Instruct | 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 VL 235B A22B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 235B A22B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 VL 235B A22B Instruct 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 Build 0.1 | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | May 20, 2026 | September 23, 2025 |
| Context window | 256K | 262K |
| Input $/Mtok | $1.00 | $0.21 |
| Output $/Mtok | $2.00 | $1.90 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok Build 0.1 better than Qwen3 VL 235B A22B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Grok Build 0.1 or Qwen3 VL 235B A22B Instruct?
Grok Build 0.1 costs $1.00 per million input tokens and $2.00 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok Build 0.1 or Qwen3 VL 235B A22B Instruct?
Qwen3 VL 235B A22B Instruct, with 262K tokens against 256K.
How many benchmarks is the Grok Build 0.1 vs Qwen3 VL 235B A22B Instruct comparison based on?
1 benchmarks have a result for both models as of October 23, 2026. Grok Build 0.1's coding index rests on 1 independent benchmark and Qwen3 VL 235B A22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.