Grok 4.5 vs Qwen3.5-35B-A3B
Grok 4.5 leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 38.8 to 19.3, and Qwen3.5-35B-A3B costs 4.6x less per output token ($1.30 vs $6.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
Grok 4.5 or Qwen3.5-35B-A3B: which to pick
Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding.
Pick Qwen3.5-35B-A3B for output tokens 4.6x cheaper ($1.30 vs $6.00 per million).
- Shared results
- 42
- Grok 4.5 only
- 81
- Qwen3.5-35B-A3B only
- 3
- 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
Only Grok 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 19.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.5 has a AA Agentic Index result, 41.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.5 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.5 has a MMLU Pro result, 89.2%.
Directional only
Web design
Design Arena: websites
No call
Only Grok 4.5 has a Design Arena: websites result, 1281.
Directional only
Long documents
Listed context window
Grok 4.5
Grok 4.5 takes 500K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-35B-A3B
Grok 4.5 $0.0050, Qwen3.5-35B-A3B $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- Grok 4.5 58.6 from 6 benchmarks, Qwen3.5-35B-A3B not benchmarked.
- Widest category
- Coding, 32.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Grok 4.5 1556 against Qwen3.5-35B-A3B 1238, 53.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.5 $6.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 4.6x apart.
- Context window
- Grok 4.5 takes 500K tokens, Qwen3.5-35B-A3B 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 4.5 | Bars | Qwen3.5-35B-A3B | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 20 | 0 | ||
| All shared boards | 42 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | Not measured | Only Grok 4.5 measured |
| LMArena WebDev | 1553 | 1254 | Grok 4.5 |
| AA Coding Index | 72.4 | Not measured | Only Grok 4.5 measured |
| LiveCodeBench (Vals AI) | 87.3% | Not measured | Only Grok 4.5 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench 4 (Vals AI) | 8.6% | Not measured | Only Grok 4.5 measured |
| Vibe Code Bench (Vals AI) | 69.0% | Not measured | Only Grok 4.5 measured |
| Code migration (Vals AI) | 36.6% | Not measured | Only Grok 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.5 measured |
| IOI (Vals AI) | 40.6% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 67.8% | Not measured | Only Grok 4.5 measured |
| SkillsBench (Vals AI) | 66.0% | Not measured | Only Grok 4.5 measured |
| CyberBench (Vals AI) | 71.0% | Not measured | Only Grok 4.5 measured |
| SciCode | 55.0% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 26.5% | Only Qwen3.5-35B-A3B measured |
| FrontierCode | 42.4% | Not measured | Only Grok 4.5 measured |
| WeirdML | 46.4% | Not measured | Only Grok 4.5 measured |
| ALE-Bench | 1309.3 | 221.8 | Grok 4.5 |
| LMArena Text: coding | 1474 | 1410 | Grok 4.5 |
| LMArena Text: software and IT | 1471 | 1415 | Grok 4.5 |
| LMArena WebDev: React | 1556 | 1238 | Grok 4.5 |
| LMArena WebDev: HTML | 1567 | 1301 | Grok 4.5 |
| LMArena WebDev: from an image | 1562 | Not measured | Only Grok 4.5 measured |
| SciCode | 6.5% | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.8 | 19.3 | Grok 4.5 |
| Epoch Capabilities Index | 154.1 | 142.5 | Grok 4.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 41.2 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building web apps | 1218 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building mobile apps | 1220 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | 1236 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Godot games | 1229 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building games | 1236 | Not measured | Only Grok 4.5 measured |
| Design Arena: HTML slides | 1205 | Not measured | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | 1230 | Not measured | Only Grok 4.5 measured |
| LiveBench research | 85.9% | Not measured | Only Grok 4.5 measured |
| LiveBench browser | 44.0% | Not measured | Only Grok 4.5 measured |
| LiveBench long agentic | 27.9% | Not measured | Only Grok 4.5 measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only Grok 4.5 measured |
| Finance Agent (Vals AI) | 48.4% | Not measured | Only Grok 4.5 measured |
| Tax Agent Bench (Vals AI) | 24.9% | Not measured | Only Grok 4.5 measured |
| Legal Research Bench (Vals AI) | 38.0% | Not measured | Only Grok 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 52.9% | Not measured | Only Grok 4.5 measured |
| Time Horizon Index (Vals AI) | 6.3% | Not measured | Only Grok 4.5 measured |
| τ²-Bench Telecom | Not measured | 89.2% | Only Qwen3.5-35B-A3B measured |
| APEX-Agents | 56.2% | Not measured | Only Grok 4.5 measured |
| PostTrainBench | 23.4% | Not measured | Only Grok 4.5 measured |
| Vending-Bench 2 | $3,887 | $463 | Grok 4.5 |
| LMArena Search | 1216 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | Not measured | Only Grok 4.5 measured |
| LiveBench reasoning | 87.2% | Not measured | Only Grok 4.5 measured |
| MMMU Pro (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 93.1% | 84.5% | Grok 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 21.0% | Grok 4.5 |
| GPQA Diamond (Epoch AI run) | 93.4% | 83.5% | Grok 4.5 |
| ARC-AGI | 87.2% | Not measured | Only Grok 4.5 measured |
| ARC-AGI-2 | 52.6% | Not measured | Only Grok 4.5 measured |
| SimpleBench | 70.0% | Not measured | Only Grok 4.5 measured |
| Chess puzzles | 35.0% | Not measured | Only Grok 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1400 | Grok 4.5 |
| LMArena Text: expert | 1465 | 1408 | Grok 4.5 |
| LMArena Text: hard prompts in English | 1464 | 1411 | Grok 4.5 |
| LMArena Vision: diagrams | 1304 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: homework | 1295 | Not measured | Only Grok 4.5 measured |
| Kagi LLM Benchmark | 83.5% | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.8% | 70.0% | Grok 4.5 |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Grok 4.5 measured |
| FrontierMath, tier 4 | 24.4% | Not measured | Only Grok 4.5 measured |
| ProofBench | 31.0% | Not measured | Only Grok 4.5 measured |
| LMArena Text: math | 1460 | 1404 | Grok 4.5 |
| LMArena Text: mathematical work | 1482 | 1410 | Grok 4.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| MMLU Pro | 89.2% | Not measured | Only Grok 4.5 measured |
| LegalBench (Vals AI) | 86.0% | Not measured | Only Grok 4.5 measured |
| CorpFin (Vals AI) | 67.4% | Not measured | Only Grok 4.5 measured |
| TaxEval (Vals AI) | 71.7% | Not measured | Only Grok 4.5 measured |
| MortgageTax (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| MedCode (Vals AI) | 43.3% | Not measured | Only Grok 4.5 measured |
| SimpleQA Verified | 48.3% | Not measured | Only Grok 4.5 measured |
| LMArena Text: science | 1464 | 1413 | Grok 4.5 |
| LMArena Text: medicine and healthcare | 1440 | 1421 | Grok 4.5 |
| LMArena Text: legal and government | 1463 | 1399 | Grok 4.5 |
| LMArena Text: business and finance | 1441 | 1394 | Grok 4.5 |
| FACTS Benchmark Suite | 50.2% | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1281 | Not measured | Only Grok 4.5 measured |
| Design Arena: UI components | 1280 | Not measured | Only Grok 4.5 measured |
| Design Arena: game dev | 1264 | Not measured | Only Grok 4.5 measured |
| Design Arena: data viz | 1266 | Not measured | Only Grok 4.5 measured |
| Design Arena: 3D | 1257 | Not measured | Only Grok 4.5 measured |
| Design Arena: all code categories | 1275 | Not measured | Only Grok 4.5 measured |
| Design Arena: SVG | 1215 | Not measured | Only Grok 4.5 measured |
| Design Arena: ASCII art | 1256 | Not measured | Only Grok 4.5 measured |
| LiveBench design | 78.1% | Not measured | Only Grok 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| LiveBench data analysis | 73.0% | Not measured | Only Grok 4.5 measured |
| SAGE (Vals AI) | 35.0% | Not measured | Only Grok 4.5 measured |
| MedScribe (Vals AI) | 86.9% | Not measured | Only Grok 4.5 measured |
| Vals Multimodal Index | 63.4% | Not measured | Only Grok 4.5 measured |
| IFBench | Not measured | 72.5% | Only Qwen3.5-35B-A3B measured |
| Long context reasoning (AA-LCR) | 79.3% | 72.0% | Grok 4.5 |
| DTBench | 96.5% | 80.0% | Grok 4.5 |
| LMCA | 45.2% | 29.5% | Grok 4.5 |
| Surface Evolver Bench | 74.4% | Not measured | Only Grok 4.5 measured |
| Furniture assembly | 22.5% | Not measured | Only Grok 4.5 measured |
| LMArena Text | 1448 | 1395 | Grok 4.5 |
| LMArena Text: instruction following | 1445 | 1379 | Grok 4.5 |
| LMArena Text: creative writing | 1442 | 1347 | Grok 4.5 |
| LMArena Vision | 1287 | Not measured | Only Grok 4.5 measured |
| LMArena Text: English | 1453 | 1407 | Grok 4.5 |
| LMArena Text: non-English | 1440 | 1378 | Grok 4.5 |
| LMArena Text: Chinese | 1495 | 1457 | Grok 4.5 |
| LMArena Text: German | 1448 | 1367 | Grok 4.5 |
| LMArena Text: Japanese | 1430 | 1326 | Grok 4.5 |
| LMArena Text: Korean | 1406 | 1355 | Grok 4.5 |
| LMArena Text: French | 1457 | 1412 | Grok 4.5 |
| LMArena Text: Spanish | 1451 | 1390 | Grok 4.5 |
| LMArena Text: Russian | 1449 | 1376 | Grok 4.5 |
| LMArena Text: Polish | 1432 | 1385 | Grok 4.5 |
| LMArena Text: multi-turn | 1456 | 1390 | Grok 4.5 |
| LMArena Text: longer queries | 1462 | 1389 | Grok 4.5 |
| LMArena Text: writing and language | 1445 | 1365 | Grok 4.5 |
| LMArena Text: entertainment and media | 1434 | 1347 | Grok 4.5 |
| LMArena Vision: English | 1285 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: Chinese | 1345 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: reading text | 1293 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: humor | 1276 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: creative writing | 1293 | Not measured | Only Grok 4.5 measured |
| LMArena Document | 1452 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.5 | Qwen3.5-35B-A3B | 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
Qwen3.5-35B-A3B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-35B-A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-35B-A3B 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 4.5 | Qwen3.5-35B-A3B |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | July 8, 2026 | February 25, 2026 |
| Context window | 500K | 262K |
| Input $/Mtok | $2.00 | $0.1625 |
| Output $/Mtok | $6.00 | $1.30 |
| Coding index | 58.6 | Not benchmarked |
| Independent measurements behind it | 6 | 1 |
| Cost per solved task | $0.62 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.5 better than Qwen3.5-35B-A3B for coding?
Only Grok 4.5 has a coding score, 58.6 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for output tokens 4.6x cheaper ($1.30 vs $6.00 per million).
Which is cheaper, Grok 4.5 or Qwen3.5-35B-A3B?
Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for Grok 4.5 only.
Which has the bigger context window, Grok 4.5 or Qwen3.5-35B-A3B?
Grok 4.5, with 500K tokens against 262K.
How many benchmarks is the Grok 4.5 vs Qwen3.5-35B-A3B comparison based on?
42 benchmarks have a result for both models as of October 22, 2026. Grok 4.5's coding index rests on 6 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.