Grok 4.5 vs Qwen3.8 27B
Updated October 21, 2026. 84 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Grok 4.5 and Qwen3.8 27B are level for coding, 75.5 against 73.6 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.8 27B when output tokens cost 4.4x less, or when the context window is larger, 1M against 500K tokens. Pick Grok 4.5 when a solved task costs $0.62 against $1.26, or when what matters is LiveBench coding or AA Coding Index, where it leads.
- Shared results
- 84
- Grok 4.5 only
- 36
- Qwen3.8 27B only
- 1
- Like-for-like categories
- 8 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
No call
Level: 75.5 against 73.6, inside 2 points.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 27B
Qwen3.8 27B leads, 45.8 against 41.2.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.5
Grok 4.5 leads, 92.9% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.5
Grok 4.5 leads, 89.2% against 84.3%.
Same board, both measured
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
Qwen3.8 27B
Qwen3.8 27B takes 1M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Grok 4.5 $0.0050, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.5
Grok 4.5 $0.62, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.5 75.5 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Agentic work, 7.4 points apart on average over 9 shared benchmarks.
- Widest single gap
- Surface Evolver Bench: Grok 4.5 74.4% against Qwen3.8 27B 45.0%, 29.4 points apart on a 0 to 100 scale.
- Output price
- Grok 4.5 $6.00 against Qwen3.8 27B $1.35 per million output tokens, 4.4x apart.
- Context window
- Grok 4.5 takes 500K tokens, Qwen3.8 27B 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 4.5 | Bars | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 11 | 6 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 4 | 1 tie | |
| Reasoning | 9 | 3 | ||
| Math | 3 | 0 | ||
| Knowledge | 7 | 2 | ||
| Web design | 1 | 0 | ||
| General | 24 | 6 | ||
| All shared boards | 61 | 21 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index116
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | 86.8% | Grok 4.5 |
| LMArena WebDev | 1553 | 1593 | Qwen3.8 27B |
| AA Coding Index | 72.4 | 68.1 | Grok 4.5 |
| LiveCodeBench (Vals AI) | 87.3% | 84.0% | Grok 4.5 |
| SWE-bench Verified (Vals AI) | 86.6% | 86.0% | Grok 4.5 |
| Terminal-Bench 4 (Vals AI) | 8.6% | Not measured | Only Grok 4.5 measured |
| Vibe Code Bench (Vals AI) | 69.0% | 64.8% | Grok 4.5 |
| Code migration (Vals AI) | 36.6% | 14.2% | Grok 4.5 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 40.6% | 39.1% | Grok 4.5 |
| Terminal-Bench 2.1 (Vals AI) | 67.8% | 58.4% | Grok 4.5 |
| SkillsBench (Vals AI) | 66.0% | 38.1% | Grok 4.5 |
| CyberBench (Vals AI) | 71.0% | 67.8% | Grok 4.5 |
| SciCode | 55.0% | 46.6% | Grok 4.5 |
| FrontierCode | 42.4% | Not measured | Only Grok 4.5 measured |
| WeirdML | 46.4% | Not measured | Only Grok 4.5 measured |
| ALE-Bench | 1309.3 | Not measured | Only Grok 4.5 measured |
| LMArena Text: coding | 1474 | 1483 | Qwen3.8 27B |
| LMArena Text: software and IT | 1471 | 1478 | Qwen3.8 27B |
| LMArena WebDev: React | 1556 | 1602 | Qwen3.8 27B |
| LMArena WebDev: HTML | 1567 | 1570 | Qwen3.8 27B |
| LMArena WebDev: from an image | 1562 | 1577 | Qwen3.8 27B |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.8 | 33.7 | Grok 4.5 |
| Epoch Capabilities Index | 154.1 | 151.7 | Grok 4.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index44
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 41.2 | 45.8 | Qwen3.8 27B |
| Design Arena: agents building web apps | 1217 | 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 | 1221 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | 1242 | 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 | 1235 | Not measured | Only Grok 4.5 measured |
| Design Arena: HTML slides | 1204 | Not measured | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | 1232 | Not measured | Only Grok 4.5 measured |
| LiveBench research | 85.9% | 59.4% | Grok 4.5 |
| LiveBench browser | 44.0% | 32.0% | Grok 4.5 |
| LiveBench long agentic | 27.9% | 27.9% | Tie |
| SREBench (Vals AI) | 0.8% | Not measured | Only Grok 4.5 measured |
| Finance Agent (Vals AI) | 48.4% | 48.5% | Qwen3.8 27B |
| Tax Agent Bench (Vals AI) | 24.9% | 30.9% | Qwen3.8 27B |
| Legal Research Bench (Vals AI) | 38.0% | 36.1% | Grok 4.5 |
| Excel Modeling Benchmark (Vals AI) | 52.9% | 59.7% | Qwen3.8 27B |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only Qwen3.8 27B measured |
| Time Horizon Index (Vals AI) | 6.3% | Not measured | Only Grok 4.5 measured |
| APEX-Agents | 56.2% | 47.5% | Grok 4.5 |
| PostTrainBench | 23.4% | Not measured | Only Grok 4.5 measured |
| Vending-Bench 2 | $3,887 | Not measured | Only Grok 4.5 measured |
| LMArena Search | 1216 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index93
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | 88.9% | Grok 4.5 |
| LiveBench reasoning | 87.2% | 80.0% | Grok 4.5 |
| MMMU Pro (Vals AI) | 61.8% | 83.9% | Qwen3.8 27B |
| GPQA Diamond (Artificial Analysis run) | 93.1% | 90.5% | Grok 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 33.9% | Grok 4.5 |
| GPQA Diamond (Epoch AI run) | 93.4% | Not measured | Only Grok 4.5 measured |
| ARC-AGI | 87.2% | 87.5% | Qwen3.8 27B |
| ARC-AGI-2 | 52.6% | 42.4% | Grok 4.5 |
| 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 | 1459 | Grok 4.5 |
| LMArena Text: expert | 1465 | 1479 | Qwen3.8 27B |
| LMArena Text: hard prompts in English | 1464 | 1461 | Grok 4.5 |
| LMArena Vision: diagrams | 1304 | 1285 | Grok 4.5 |
| LMArena Vision: homework | 1295 | 1295 | Grok 4.5 |
| 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 | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.8% | Not measured | Only Grok 4.5 measured |
| 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% | 16.0% | Grok 4.5 |
| LMArena Text: math | 1460 | 1455 | Grok 4.5 |
| LMArena Text: mathematical work | 1482 | 1458 | 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 index72
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 89.2% | 84.3% | Grok 4.5 |
| LegalBench (Vals AI) | 86.0% | 82.4% | Grok 4.5 |
| CorpFin (Vals AI) | 67.4% | Not measured | Only Grok 4.5 measured |
| TaxEval (Vals AI) | 71.7% | 70.8% | Grok 4.5 |
| MortgageTax (Vals AI) | 61.8% | 64.9% | Qwen3.8 27B |
| MedCode (Vals AI) | 43.3% | 28.7% | Grok 4.5 |
| SimpleQA Verified | 48.3% | Not measured | Only Grok 4.5 measured |
| LMArena Text: science | 1464 | 1467 | Qwen3.8 27B |
| LMArena Text: medicine and healthcare | 1440 | 1437 | Grok 4.5 |
| LMArena Text: legal and government | 1463 | 1447 | Grok 4.5 |
| LMArena Text: business and finance | 1441 | 1438 | Grok 4.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1281 | Not measured | Only Grok 4.5 measured |
| Design Arena: UI components | 1279 | Not measured | Only Grok 4.5 measured |
| Design Arena: game dev | 1263 | Not measured | Only Grok 4.5 measured |
| Design Arena: data viz | 1267 | Not measured | Only Grok 4.5 measured |
| Design Arena: 3D | 1257 | Not measured | Only Grok 4.5 measured |
| Design Arena: all code categories | 1276 | Not measured | Only Grok 4.5 measured |
| Design Arena: SVG | 1215 | Not measured | Only Grok 4.5 measured |
| Design Arena: ASCII art | 1257 | Not measured | Only Grok 4.5 measured |
| LiveBench design | 78.1% | 75.9% | Grok 4.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index246
| Benchmark | Grok 4.5 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 73.0% | 76.6% | Qwen3.8 27B |
| SAGE (Vals AI) | 35.0% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 86.9% | 83.8% | Grok 4.5 |
| Vals Multimodal Index | 63.4% | Not measured | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 79.3% | 82.0% | Qwen3.8 27B |
| DTBench | 96.5% | 88.0% | Grok 4.5 |
| LMCA | 45.2% | 41.4% | Grok 4.5 |
| Surface Evolver Bench | 74.4% | 45.0% | Grok 4.5 |
| Furniture assembly | 22.5% | Not measured | Only Grok 4.5 measured |
| LMArena Text | 1448 | 1440 | Grok 4.5 |
| LMArena Text: instruction following | 1445 | 1436 | Grok 4.5 |
| LMArena Text: creative writing | 1442 | 1383 | Grok 4.5 |
| LMArena Vision | 1287 | 1269 | Grok 4.5 |
| LMArena Text: English | 1453 | 1448 | Grok 4.5 |
| LMArena Text: non-English | 1440 | 1428 | Grok 4.5 |
| LMArena Text: Chinese | 1495 | 1501 | Qwen3.8 27B |
| LMArena Text: German | 1448 | 1443 | Grok 4.5 |
| LMArena Text: Japanese | 1430 | 1387 | Grok 4.5 |
| LMArena Text: Korean | 1406 | 1384 | Grok 4.5 |
| LMArena Text: French | 1457 | 1465 | Qwen3.8 27B |
| LMArena Text: Spanish | 1451 | 1449 | Grok 4.5 |
| LMArena Text: Russian | 1449 | 1415 | Grok 4.5 |
| LMArena Text: Polish | 1432 | 1439 | Qwen3.8 27B |
| LMArena Text: multi-turn | 1456 | 1440 | Grok 4.5 |
| LMArena Text: longer queries | 1462 | 1448 | Grok 4.5 |
| LMArena Text: writing and language | 1445 | 1405 | Grok 4.5 |
| LMArena Text: entertainment and media | 1434 | 1393 | Grok 4.5 |
| LMArena Vision: English | 1285 | 1267 | Grok 4.5 |
| LMArena Vision: Chinese | 1345 | 1326 | Grok 4.5 |
| LMArena Vision: reading text | 1293 | 1281 | Grok 4.5 |
| LMArena Vision: humor | 1276 | 1235 | Grok 4.5 |
| LMArena Vision: creative writing | 1293 | 1237 | Grok 4.5 |
| LMArena Document | 1452 | Not measured | Only Grok 4.5 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 4.5 | Qwen3.8 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 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 4.5 | Qwen3.8 27B |
|---|---|---|
| Maker | xAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | July 8, 2026 | August 14, 2026 |
| Context window | 500K | 1M |
| Input $/Mtok | $2.00 | $0.04 |
| Output $/Mtok | $6.00 | $1.35 |
| Coding index | 75.5 | 73.6 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.62 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.5 better than Qwen3.8 27B for coding?
Grok 4.5 and Qwen3.8 27B are level for coding, 75.5 against 73.6 on the Vibe Coding Index, so price and context decide. Pick Qwen3.8 27B when output tokens cost 4.4x less, or when the context window is larger, 1M against 500K tokens. Pick Grok 4.5 when a solved task costs $0.62 against $1.26, or when what matters is LiveBench coding or AA Coding Index, where it leads.
Which is cheaper, Grok 4.5 or Qwen3.8 27B?
Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Grok 4.5 costs $0.62 and Qwen3.8 27B $1.26.
Which has the bigger context window, Grok 4.5 or Qwen3.8 27B?
Qwen3.8 27B, with 1M tokens against 500K.
How many benchmarks is the Grok 4.5 vs Qwen3.8 27B comparison based on?
84 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 2 independent benchmarks and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.